DATA MINING BASED STUDENT DATA ANALYSIS UTILIZING RANDOM FOREST METHOD

DATA MINING BASED STUDENT DATA ANALYSIS UTILIZING RANDOM FOREST METHOD Students are the strength of any educational institution whose quality is measured by the process of official recognition termed as Accreditation. The measurement of quality focuses on strength of students hence educational institutions give more importance to prevent drop out of students as high dropping rate of students create bad impact on the institutions resulting in low grade accreditation and finally ends in bad reputation. This invention involves data mining technique for analyzing the student educational data which is utilized by the classification method for predicting the student drop out in undergraduate level at XYZ University. Prediction of student drop out is done based on the raw student academics data enrolled in the university for a particular academic year. Imbalanced raw data is handled through preprocessing where in our invention imbalance dataset is handled by synthetic minority oversampling technique ...

DATA ANALYSIS AND VISUALIZATION USING STRUCTURED DATA TABLES AND NODAL NETWORKS

Disclosed methods and systems describe an analytics server that generates an inter-related nodal data structure. The analytics server receives an electronic template having a set of input fields, the electronic template identifying at least a portion of data stored within a database and its corresponding domain data table and a display attribute, the electronic template further identifying a database storing the data; retrieves the data from the database; parses the data into a set of unique domain data tables having a first criterion and a set of unique dimension tables having a second criterion; generates a nodal network comprising a set of nodes where each node represents at least a portion of the retrieved data, each node having metadata comprising a unique identifier corresponding to a unique domain table and a unique dimension table corresponding to data associated with each node; links one or more nodes based their respective metadata.

TRANSFORMING A SPECIFICATION INTO A PERSISTENT COMPUTER PROGRAM

A method performed by a computer system including: accessing a specification that specifies a plurality of modules to be implemented by the computer program for processing the one or more values of the one or more fields in the structured data item; transforming the specification into the computer program that implements the plurality of modules, wherein the transforming includes: for each of one or more first modules of the plurality of modules: identifying one or more second modules of the plurality of modules that each receive input that is at least partly based on an output of the first module; and formatting an output data format of the first module such that the first module outputs only one or more values of one or more fields of the structured data item.

GENERATING DATA VISUALIZATIONS ACCORDING TO AN OBJECT MODEL OF SELECTED DATA SOURCES

The method receives a visual specification, which specifies a data source, visual variables, and data fields from the data source. Each visual variable is associated with data fields and each data field is either a dimension or a measure. From an object model of the data source, the method identifies a minimal subtree that includes all of the dimension data fields and constructs a query from the minimal subtree. The method executes the query against the data source to retrieve a set of tuples, each tuple comprising a unique ordered combination of data values for the dimension data fields. For each tuple, the method forms an extended tuple by appending aggregated data values corresponding to each measure data field. The method then builds and displays a data visualization according to the data fields in the extended tuples and according to the visual variables to which the data fields are associated.

Verfahren zur sicheren Darstellung von Ursprungsdaten für eine Cloudlösung.

Ein Verfahren zur sicheren Darstellung von Ursprungsdaten umfasst einen Server (11) und einen Kunden-PC (13) und ein Netzwerk (12). Ein am Kunden-PC arbeitender Benutzer (3) sendet mittels einer Benutzerapplikation (102) eine Anfrage zur Bereitstellung einer Datenauswahl aus den Ursprungsdaten an den Server (11), der eine Serverapplikation (101) enthält, welche die für die Anfrage erforderlichen Ursprungsdaten bereitstellt, wobei mittels der Serverapplikation (101) eine Bilddatei (106) aufbereitet wird, die über das Netzwerk (12) an die Benutzerapplikation (102) übermittelt wird. Dem Benutzer (3) wird die Bilddatei (106) von der Benutzerapplikation (102) präsentiert, wobei der Benutzerapplikation (102) die für die Bilddatei (106) erforderlichen Ursprungsdaten niemals bekannt gemacht werden.

Data display method and related device

Method for creating three-dimensional simulation visual management system for power distribution network equipment information

Method and device for generating relation graph, computer device and storage medium

A big data analysis statistics and real-time monitoring method and system for intelligent illumination

Beidou multi-beam signal detector

Data list display method and device, equipment and storage medium

Backtracking analysis method and device for electric power system

data comprehensive management and diagnosis analysis method applied to high-voltage electrical test of a substation

Selection judgment type man-machine interaction answering device and application method thereof

Geographic environment entity construction system and method based on multi-modal data association

The invention relates to a geographic environment entity construction system and method based on multi-modal data association, and belongs to the technical field of geographic space data organization and modeling. The system comprises a geographic environment original data providing module, a geographic space entity construction module, a geographic knowledge entity construction module, a geographic environment entity model, a geographic environment entity attribute fusion module, a geographic environment entity storage module and geographic environment entity metadata. A geographic environment entity search engine module; and a geographic knowledge service application module. According to the system and the method provided by the invention, the geographic space entity and the geographic knowledge entity are constructed, the geographic space entity and the geographic knowledge entity are fused to obtain the geographic environment entity information, and the geographic knowledge and the ...

Business index display method and device, computer equipment and storage medium

The invention relates to a business index display method and device, computer equipment, a business index display system and a storage medium. The method comprises the following steps: sequentially obtaining a first business index value at a first moment and a second business index value at a second moment from a business index cache system; calculating according to the first target time difference, the first business index value and the second business index value to obtain a business index average change value; determining a business index display value of each target moment according to the first business index value, the business index average change value and the display time period, and sequentially controlling the business index display value corresponding to each target moment to display in the display time period; the dynamic display time period is determined according to the second moment and the first target time difference; the target moment is any moment in the display time ...

Method for positioning suitable environment of oncomelania in water network area

A water network area oncomelania suitable environment positioning method comprises the following steps: firstly, fitting a pre-constructed oncomelania distribution two-level Logistic regression model by using a plurality of first level influence factor data, a plurality of second level influence factor data and oncomelania spatial distribution data of a research area; and substituting a plurality of pieces of first horizontal influence factor data and a plurality of pieces of second horizontal influence factor data of the area covering the research area into the fitted model, and outputting the field oncomelania spatial distribution of the whole area. On one hand, the design can reflect the aggregation of the oncomelania in the water network ditch and is suitable for positioning the oncomelania suitable environment in the water network area, and on the other hand, the design takes the elevation, the soil humidity, the vegetation index and the landscape fractal dimension index on the grid ...

Relay protection professional knowledge graph service access and visual display system

The invention discloses a relay protection professional knowledge graph service access and visual display system which comprises a data layer, a network layer, a platform layer and an application layer. The data layer is used for acquiring data from the relay protection system; the network layer comprises a knowledge graph database and a data fast processing module, the knowledge graph database is used for storing data such as entities, attributes and relationships in a knowledge graph, and the data processing module is used for processing and processing a large amount of information such as entities, attributes and relationships contained in the knowledge graph; the platform layer provides basic support for the network layer; the application layer comprises a visual interface module and an application program interface module, the visual interface module displays knowledge graph data, entities, attributes, relationships and network structures in a graphical mode, and the application program ...

Application method of intelligent analysis system allowing a user to realize intelligent operation and management through a chart, a model or a table

The present invention relates to an application method of an intelligent analysis system, which includes the steps of: retrieving an open data from a server, and obtaining a closed data from a client end; pre-processing the open data and the closed data in a processing unit, and outputting a first data source and a second data source; storing the first data source and the second data source in a database; analyzing the first data source and the second data source, and outputting an analysis result; and outputting a chart, a model, or a table on an interface according to the analysis result, so that a user realizes intelligent operation and management through the chart, the model or the table.

MULTI-DIMENSIONAL DATA VISUALIZATION DEVICE, METHOD, AND PROGRAM

An embodiment of the present invention is provided with a projective transformation model which has a plurality of nodes that retain reference vectors having dimensions corresponding to multi-dimensional data, and which also has a projection table. The projection table represents the correspondence between the numbers of the nodes and the coordinates in a two-dimensional space to which the reference vector retained by each node is projected. Initially in a learning phase, positive-example and negative-example multi-dimensional input data are acquired, amplitude feature quantities of the respective multi-dimensional input data are calculated, and data of the respective amplitude feature quantities are learned for each sample as the reference vectors of the plurality of nodes. Next, a calculation is made of the Euclidean distance between coordinates when a node learned using the positive-example amplitude feature quantity data and a node learned using the negative-example amplitude feature ...

DATA OBJECT CLASSIFICATION METHOD AND APPARATUS, COMPUTER DEVICE AND STORAGE MEDIUM

A data object classification method and apparatus, a computer device, and a readable storage medium, which fall within the field of big data. The method comprises: acquiring basic data of each object to be classified to serve as data to be processed, and dividing the data to be processed into standard data and associated data according to preset screening demand data; obtaining a standard nominal variable according to the standard data, performing feature classification on the standard nominal variable, and performing fusion processing on a result after classification to obtain a comprehensive classification result; obtaining an associated nominal variable according to the associated data, and performing data evaluation on the associated nominal variable to obtain an evaluation score of the associated nominal variable; and determining, according to the evaluation score, a target object in each category in the comprehensive classification result. By using the method, the accuracy of data ...

СПОСОБ УЧЕТА ИЗМЕНЕНИЙ СОДЕРЖАНИЯ НОРМАТИВНЫХ ДОКУМЕНТОВ ПРИ ОБЕСПЕЧЕНИИ БЕЗОПАСНОСТИ ПОЛЕТОВ

... Изобретение относится к области проведения обучения и контроля знаний и может быть использовано для обеспечения безопасности полетов при обучении и переподготовке летного состава и вспомогательного персонала. Предлагается способ учета изменений содержания нормативных документов при обеспечении безопасности полетов, выделяют из нормативных документов фрагменты, имеющие завершенное смысловое содержание с присвоением каждому из фрагментов уникального идентификационного признака; формируют отдельные положения программы обучения, с указанием положений, использующих фрагменты из нормативных документов; для положений, использующих фрагменты из нормативных документов, указывают идентификационные признаки соответствующих фрагментов; проверяют соответствие набора положений измененной программы обучения, содержащего положения не использующие признаки замененных и удаленных фрагментов не замененных новыми признаками критерию возможности программы обучения и при соответствии измененной программы обучения ...

OILFIELD DATA FILE CLASSIFICATION AND INFORMATION PROCESSING SYSTEMS

A method for analyzing data includes obtaining data objects from a data repository. The data objects include observational data related to one or more oil wells, oil fields, or a combination thereof. The method also includes classifying the data objects based on data contained therein using a machine-learning algorithm, and determining output data from the data objects after classifying the data objects. The output data represents one or more historical data analytics for the one or more oil wells, oil fields, or a combination thereof. The method further includes visualizing the output data including the one or more historical data analytics.

SINGLE VIEW PRESENTATION OF MULTIPLE QUERIES IN A DATA VISUALIZATION APPLICATION

Examples of the present invention provide a method, system (200), and computer program product (250) for single view presentation (140) of multiple query. In an example of the invention, a method for single view presentation of multiple query includes directing (320) a query against a database (220) along a selected dimension of multiple different elements. In response, a primary result set is received. The result set is then organized (340) into a tabular view (140) of cells according to the selected dimension and values for the selected dimension. Thereafter, a set of nested queries may be directed (350, 360) for each of the elements in the selected dimension against the result set utilizing a different dimension. In response to each directed set of nested queries, a corresponding result set is thus received. Each corresponding result set is inserted (400) into a cell associated with a common one of the elements ...

REAL-TIME DASHBOARDS, ALERTS AND ANALYTICS FOR A LOG INTELLIGENCE SYSTEM

This disclosure describes how data supporting real-time reporting services can be cached during a log intake process. In particular, instead of caching all the log data being generated by an operational system, only the log data relevant to existing queries associated with the real-time reporting services are cached. In some embodiments, only particular metrics contained within the log data are stored for rapid access by the real-time reporting services.

System and Method For Providing Three-Dimensional Graphical User Interface

Methods and systems are provided for providing an improved three-dimensional graphical user interface. In one embodiment, the method generally comprises: receiving an input from an end user and capturing computing output from at least one computer source in response to the received end-user input. The computing output can be presented as two or more objects within a three-dimensional virtual space displayed to the end user. In one embodiment, the method further comprises mapping an interaction with one of the objects to a corresponding function, said function being used to alter the appearance of said object. Methods and systems for providing an improved graphical user interface. In one embodiment, the method generally comprises: displaying a first item in a first portion of a virtual space, where the first portion is initially visible on a screen, allowing a user to move to a second portion of the virtual space where a second item is displayed, and displaying a map (e.g., on the screen ...

SYSTEMS AND METHODS FOR AUTO DISCOVERY OF FILTERS AND PROCESSING ELECTRONIC ACTIVITIES USING THE SAME

The present disclosure relates to systems and methods for filtering electronic activities. Exemplary implementations may include ingesting a first electronic activity; identifying an associated entity; and selecting a first filtering model based on the entity, the first filtering model trained to indicate whether to restrict further processing of ingested electronic activities. The method may further include generating a plurality of structured data tags for the first electronic activity; applying the selected first filtering model to the plurality of structured data tags for the first electronic activity to determine whether the first electronic activity satisfies a first restriction condition; and responsive to the first electronic activity satisfying the first restriction condition, restricting the first electronic activity from further processing; or responsive to the first electronic activity not satisfying the first restriction condition, further processing, by the one or more processors ...

Monitoring I.T. service-level performance using a machine data key performance indicator (KPI) correlation search

A service monitoring system executing on one or more processors may have operations that are determined by control information. Control over the operation of the service monitoring system can be exerted through the use of a graphical interface. The graphical interface may present the control information of a new or existing correlation search definition for user interaction. The service monitoring system may maintain a data store of key performance indicator (KPI) data, where a KPI value in the data store is produced by a KPI-defining search query that derives the value from machine data associated with one or more entities that perform a monitored service. A correlation search definition of the service monitoring system determines how a search of the KPI data is conducted, how its data is evaluated to determine whether a triggering condition has been met, and, if so, determines what triggered action is to be initiated.

SYSTEMS AND METHODS FOR GENERATING A FILTERED DATA SET

The present disclosure relates to generating a filtered data set. Data from a plurality of systems of record of a plurality of data source providers may be accessed. A master data set generated using the data accessed from the plurality of systems of record may be maintained. Restriction policies including one or more rules for restricting sharing of data may be maintained. A filtered data set may be generated for a data source provider responsive to an application of restriction policies of other data source providers to the master data set. The filtered data set may be provisioned.

Declarative and reactive data layer for component-based user interfaces

Each of a plurality of wire web components predicted to be included in a graphical user interface (GUI) for presentation at a client machine. Each data object instance may be associated with a respective data object instance identifier and a respective one or more data object fields. A wire web component graph that includes a plurality of nodes may be constructed. A node may correspond to a wire web component, a data object field, or an application procedure interface (API). One or more of the data values may be retrieved from the respective APIs based on the wire web component graph. A GUI message including the retrieved data values and the wire web component graph may be transmitted to the client machine.

Method and system for generating a schematic map

A method for automatically generating, in real-time, for display on a display, a simplified network layout from an initial network layout including one or more lines each connecting a plurality of nodes. Graph information is provided indicating vertices representing geographic positions of the nodes and edges representing connections between the nodes. The nodes are repositioned to optimize an objective function based on readability of the simplified network layout. Nodes and edges are discretized using interpolation to align a plurality of the nodes and connect the aligned nodes using simplified k-linear segments, where k-linear segments are parallel to one of k equidistant orientations whose angles are multiples of 180/k degrees, with k larger or equal to two. The simplified network layout is provided for a display.

DATA PROCESSING DEVICE AND METHOD, ELECTRONIC APPARATUS

A data processing device includes visualization component(s) of an option group and at least one chart component. The option group includes a first option and a second option. The at least one chart component has a subscription relationship with the first option of the option group. The at least one chart component is configured to display first chart(s) belonging to the at least one chart component in response to operation of selecting the first option. The at least one chart component has a subscription relationship with the second option of the option group. The at least one chart component is further configured to display second chart(s) belonging to the at least one chart component in response to operation of selecting the second option.

Association rule mining

Embodiments of the present invention provide systems and methods for associating rule mining. By way of example, embodiments obviate or mitigate performance and stability problems associated with conventional association rule mining approaches, by proposing concepts implementing association rule mining using rolling filtering bitmaps over dynamic data.

MONITORING SYSTEM CONTROL INTERFACE FOR ASSET TREE DETERMINATION

A method to provide an interface for asset tee determination includes performing a search of data, the search including user-supplied criteria information, causing display of results of the search, receiving user input providing classifications for the results of the search, the classifications indicating asset identifier and asset parent identifier fields in the results of the search, identifying, based on the user input and the results of the search, a plurality of unique assets identifiers and corresponding asset parent identifiers, and automatically generating a computer representation of an asset hierarchy comprising an asset node for each asset identifier, an asset parent node for each asset parent identifier, and a representation of hierarchical relationships between asset nodes and asset parent nodes.

MANAGEMENT SYSTEM, METHOD FOR MANAGEMENT BY MANAGEMENT SYSTEM, AND RECORDING MEDIUM

Provided is a management system for managing a relation between a database and a volume without installing an agent. A management system manages a relation between a data catalog and a volume of a storage system storing data to be used by the data catalog. A processor of the management system accesses data that is included in the data catalog and that includes authentication information of the volume; detects the number of accesses to the volume in a time range including a timing of the access to the data; and manages the relation between the data catalog and the volume on the basis of the number of accesses.

STEEL FRAME BUILDING CONSTRUCTION CYCLE MANAGEMENT SOFTWARE

A computer implemented method of managing construction of a steel building frame is disclosed, including defining a part database including beams, columns, and components of a full moment collar assembly, storing historical pricing data for the parts in the part database, and creating a station layout for a steel fabrication facility and receiving digital. The method further includes receiving digital models of a plurality of buildings, each including a steel frame having beams and columns connected by full moment collar assemblies, and parsing the received digital models to generate a list of parts in the plurality of buildings a defined in the part database. The method further includes generating routes and stages for the beams, the columns, and the components of the full moment collar assemblies through the stations of the steel fabrication facility, and modifying the digital model of at least one of the plurality of buildings to improve efficiency of the generated routes and stages.

EFFICIENT GRAPH QUERY PROJECTIONS ON TOP OF PROPERTY VALUE STORAGE SYSTEMS

Techniques are provided for processing a graph query by exploiting an in-memory graph index and minimizing the number of storage accesses needed to project properties of generated paths. A predefined number of paths from a graph query runtime is accumulated, using different data structures, before executing storage accesses necessary to retrieve all properties needed. A first data structure stores all paths from the graph query runtime that hit cache(s) entirely. A second data structure stores paths that do not hit caches at any level or only a subset of the levels does. Once any of these data structures are full, result rows are produced based on the two data structures prior to extracting more paths from the graph query runtime.

Patent mapping

A system and method for patent mapping are provided. The system comprises a database of patent sets and a database of patents, each patent stored in the database of patents associated with one or more patent sets stored in the database of patent sets; and one or more modules to perform a portion of one or more of the following: receive input identifying a set of keyword source claims associated with a first patent set; automatically extract at least one keyword from the source claims; receive or formulate a search query associated with the first patent set, the search query including the at least one keyword; search the entire first patent set as a function of the search query; generate search results, the search results including one or more patent claims associated with the search query; and map the one or more patent claims to a patent concept.

Wafer-level package assembly handling

A chuck assembly includes an upper surface configured to support a wafer-level package assembly and a clamping mechanism securing the wafer-level package assembly to the upper surface.

METHOD, APPARATUS, AND ELECTRONIC DEVICE FOR PROCESSING VISUAL DATA OF DEEP MODEL

The disclosure provides a method and an apparatus for processing visual data of a deep model, and an electronic device. The method includes: determining a user identifier in a request of displaying a workspace in response to acquiring the request; acquiring a set of historical visual data associated with the user identifier; and displaying the set of historical visual data in a page of a workspace of a user corresponding to the user identifier.

System und Verfahren zum Bereitstellen von anwenderspezifischer Funktionalität einer verbundenen Vorrichtung und zum Betreiben einer verbundenen Vorrichtung über ein Austauschobjekt

Es wird ein System und Verfahren in einer mobilen (tragbaren) Vorrichtung zum Steuern einer verbundenen Vorrichtung offenbart. In einer Ausführungsform weist das Verfahren das Empfangen eines Bildes auf, das Verarbeiten des Bildes um wenigstens ein erstes Bildattribut zu identifizieren, wobei das erste Bildattribut ein Bildmerkmal oder ein Bildobjekt aufweist, das Zugreifen auf eine Datenbank von verbundenen Vorrichtungen, wobei jede verbundene Vorrichtung in der Datenbank durch ein verknüpftes Bild identifiziert wird und Vorrichtungsmetadaten zugeordnet wird, die wenigstens einen Vorrichtungstyp der verbundenen Vorrichtung beschreiben, das Vergleichen des ersten Bildattributes mit den verknüpften Bildern, welche mit den verbundenen Vorrichtungen, gespeichert in der Datenbank, korrespondieren, das Identifizieren einer ersten verbundenen Vorrichtung, die ein verknüpftes Bild hat, welches mit dem ersten Bildattribut übereinstimmt und als Antwort auf das Identifizieren, das Bereitstellen einer ...

INVESTOR KNOWLEDGE WEB

A system for displaying a knowledge web. The knowledge web is generated in accordance with data describing at least one of news, topics, sectors, or portfolios, the knowledge web indicates the strength of connection or influence between any pair of data. The news, topics, sectors, or portfolios are connected by edges. Various shapes, sizes, colors, distances between elements, and line thickness can be used to indicate the strength of connection or influence. A server analyses the knowledge web and suggests asset trades of assets or securities based upon the knowledge web.

Flight data anomaly identification model construction method based on data mining

Data monitoring method, device, device and computer-readable storage medium

WaSSSI-C model visualization system based on component GIS

Industrial fusion index calculation and visualization method

Data 3D visual display method, device, device of wind power plant and medium

Data display method, device, storage medium and computer device

Data cleaning method for real-time processing of power grid regulation and control multi-source service flow and related device

The invention discloses a data cleaning method for power grid regulation and control multi-source service flow instant processing and a related device, and the method integrates model data taking power grid operation equipment as a center, fully analyzes the time sequence relation and change trend characteristics of power grid regulation and control multi-source data, and achieves the real-time processing of the power grid regulation and control multi-source service flow through the reasonable integration of a multi-type abnormal problem analysis method. According to the multi-source service flow real-time processing method, the instability of a single method in the aspects of data identification and correction effects is made up, according to the multi-source service flow real-time processing method, flowing data generated by a service system in a certain time window is not stored after arriving and is directly imported into a memory for real-time calculation, valuable information is obtained ...

Coal blending combustion management system

The invention discloses a coal blending combustion management system, which relates to the technical field of coal power, and specifically comprises an information collection module, a sampling module, an analysis module, an ideal matching module, a screening module, a display module, a blending module and a communication module, the information collection module collects information of a coal feeding period, a coal feeding amount, a daily coal unit price, a coal loss amount and a historical coal blending scheme, the information collection module uploads the collected information of the coal feeding amount, the daily coal unit price and the coal loss amount to the screening module, and the sampling module samples various coals needing to be blended; and the analysis module is used for analyzing the sampled coal. According to the coal blending combustion management system, the optimal blending proportion of different coal types can be calculated according to actual information, the coal ...

Urban spatio-temporal information engine method of digital space model (DSM)

The invention discloses an urban spatio-temporal information engine method of a digital space model (DSM). The engine system comprises a data acquisition module, a data updating module, a construction module, a multi-source data fusion module, a data dynamic encryption module, a big data visualization and dynamic analysis module, a data cloud storage module, a map service module and a sensor network docking module, and the data acquisition module is connected with a control unit through a data transmission unit. The data updating module, the construction module, the multi-source data fusion module, the data dynamic encryption module, the big data visualization and dynamic analysis module, the data cloud storage module, the map service module and the sensor network docking module are all connected with the control unit. The urban space-time big data can be quickly processed and organically fused, and off-line real-time monitoring, automatic early warning and intelligent management of all ...

Resource topological graph generation method and device, electronic equipment and readable storage medium

The invention provides a resource topological graph generation method and device, electronic equipment and a computer readable storage medium. The resource topological graph generation method comprises the steps of obtaining a target system code of a target service system; obtaining various types of resources associated with the target system code; obtaining a first association relationship between first resource types corresponding to the various types of resources from a preset configuration database; and by taking the first resource type as a node, generating a system service topological graph of the target service system according to the first association relationship. According to the method and the device, different types of resources in the service system can be associated in a more targeted manner, and the problem that the resource management requirement of a service scene is difficult to meet due to the fact that the service pertinence of a resource topological graph is not high ...

점진적 빈발패턴 기반의 그래프스트림 압축 방법 및 시스템

... 점진적 빈발패턴 기반의 그래프스트림 압축 방법 및 시스템이 개시된다. 본 발명의 실시예에 따른 점진적 빈발패턴 기반의 그래프스트림 압축 방법은, 실시간으로 입력되는 그래프스트림에 대한 압축 명령에 따라, 상기 그래프스트림 중 제1 시간 동안 입력된 서브스트림으로부터 제1 서브그래프를 추출하는 단계와, 상기 제1 서브그래프를 초기 빈발패턴으로서 패턴 사전에 저장하는 단계와, 상기 그래프스트림 중 상기 제1 시간의 경과시점부터 제2 시간 동안 입력된 서브스트림으로부터 상기 제1 서브그래프와 상이한 제2 서브그래프가 추출되면, 상기 제2 서브그래프를 이용하여, 상기 패턴 사전 내에서 상기 제1 서브그래프를 확장 서브그래프로 업데이트하여 유지하는 단계, 및 상기 제1 및 제2 시간을 합산한 시간이 정해진 시간에 도달하면, 상기 패턴 사전 내에 유지되는 상기 확장 서브그래프를, 기준 빈발패턴으로서, 압축 처리하는 단계를 포함한다.

GENERATING DATA VISUALIZATIONS ACCORDING TO AN OBJECT MODEL OF SELECTED DATA SOURCES

The method receives a visual specification, which specifies a data source, visual variables, and data fields from the data source. Each visual variable is associated with data fields and each data field is either a dimension or a measure. From an object model of the data source, the method identifies a minimal subtree that includes all of the dimension data fields and constructs a query from the minimal subtree. The method executes the query against the data source to retrieve a set of tuples, each tuple comprising a unique ordered combination of data values for the dimension data fields. For each tuple, the method forms an extended tuple by appending aggregated data values corresponding to each measure data field. The method then builds and displays a data visualization according to the data fields in the extended tuples and according to the visual variables to which the data fields are associated.

Control interface for asset tree monitoring

An asset monitoring and reporting system (AMRS) implements an interface to establish an asset hierarchy to be monitored and reported against. The interface employs a search query of extant asset data from which definitional aspects of the asset hierarchy can be identified, and therefrom the interface automatically determines control information reflective of the asset hierarchy to direct the ongoing operation of the AMRS. The asset or component hierarchy may further inform operations related to the generation and display of a user interface presenting widgets that graphically depict information about one or more such components during AMRS operation.

Graphical controls for selecting criteria based on fields present in event data

The disclosure relates to certain system and method embodiments for generating reports from unstructured data. In one embodiment, a method can include identifying events matching criteria of an initial search query (each of the events including a portion of raw machine data that is associated with a time), identifying a set of fields, each field defined for one or more of the identified events, causing display of an interactive graphical user interface (GUI) that includes one or more interactive elements enabling a user to define a report for providing information relating to the matching events (each interactive element enabling processing or presentation of information in the matching events using one or more fields in the identified set of fields), receiving, via the GUI, a report definition indicating how to report information relating to the matching events, and generating, based on the report definition, a report including information relating to the matching events.

Time-sensitive cube

A time-sensitive cube data system is disclosed in which time-sensitive and/or time-series data objects are output in response to a user's operations on a time-sensitive OLAP cube. The time-sensitive and/or time-series data objects output by the time-sensitive cube data system may be displayed to the user in any way that may be advantageous to the user's understanding. The time-series objects output by the time-sensitive cube data system are more helpful than a single snapshot, as a user is able to see data trends over time.

Risk adaptive protection

A method, system and computer-usable medium for performing security analytics comprising receiving a stream of data from a data source; preprocessing the stream of data identify entity information and event information from the stream of data; transforming the entity information into transformed entity data and the event information into transformed event data; the transforming conforming to a genericized data model; storing the transformed entity data and the transformed event data in a security analytics data repository; and, performing a security analytics operation on the transformed entity data and the transformed event data.

IDENTIFYING METRICS RELATED TO DATA INGESTION ASSOCIATED WITH A DEFINED TIME PERIOD

A data intake and query system measures an amount of raw data ingested by the system during defined periods of time. As used herein, ingesting raw data generally refers to receiving the raw data from one or more computing devices and processing the data for storage and searchability. Processing the data may include, for example, parsing the raw data into “events,” where each event includes a portion of the received data and is associated with a timestamp. Based on a calculated number of events generated by the system during one or more defined time periods, the system may calculate various metrics including, but not limited to, a number of events generated during a particular day, a number of events generated per day over a period of time, a maximum number of events generated in a day over a period of time, an average number of events generated per day, etc.

Systems and methods for context-sensitive data annotation and annotation visualization

Systems and methods for receiving, storing, and returning annotations in association with annotated data. Data visualizations can be generated using data selected from a data organization and storage system, e.g., a database. Annotation data is stored in association with the underlying data used to generate data visualizations. Future renderings of data visualizations using the same underlying data may then include the corresponding annotation data. In some implementations, a system includes a data storage system storing a plurality of data entries in a database and a processor configured to generate data visualizations representative of the plurality of data entries stored in the database, receive a selection of an element of a data visualization, identify data entries represented by the selected element; receive annotation data associated with the selection, and record data associating the received annotation data with the identified data entries.

SELECTIVE FILTERED SUMMARY GRAPH

In some embodiments, a method may include display of a data summary view of a set of events that correspond to query results of a query. Each event of the set of events may include data items of a plurality of event attributes. In embodiments, the data summary view can include various summary reports. Each summary report can include summary entries and a summary graph that each present a summary of data items of a selected event attribute, of the plurality of event attributes. At least one summary report can include summary entries that are selectable by a user. The method may further include filtering the set of event, in response to, and based on, selection of one or more of the selectable summary entries by the user and updating of at least the first and second summary graphs to correspond to the filtered set of events.

Systems and methods for enabling situational awareness for events via data visualization

Aspects of the present disclosure relate to data visualization, and more specifically, to technology that automatically visualizes various analytics and predictions generated for mass participation endurance events, or other events of interest.

COMPUTER-IMPLEMENTED SYSTEM AND METHOD FOR CREATING FORECAST CHARTS

A computer-implemented system and method for creating forecast charts. The computer-implemented system includes a computing device, processor, and memory. The processor is configured to connect data sources to a website application. The processors are configured to retrieve, by the website application, unstructured data from the plurality of data sources. The processors are configured to format unstructured data and convert the unstructured data into structured data. The processors are configured to transform, by the website application, the structured data into one or more forecast charts by performing computations by using transformation methods. The structured data is used on dashboard templates, and independent metric templates, wherein at least one of dashboard template is selected from the plurality of dashboard templates presented over a user interface of the computing device by a user. The processors are configured to train Machine Learning (ML) models on the structured data of ...

Cross LoB blending handling along with permissions

A method for accessing data stored in a database may include receiving a query to generate, based on blended data, a visualization. The blended data may include a first set of data from a first data source and a second set of data from a second data source. The query may also include a payload. The method may also include accessing the first set of data by injecting, into the payload, the first permission, and transmitting, to the first data source, the payload including the first permission. The method may also include accessing the second set of data by injecting, into the payload, the second permission, and transmitting, to the second data source, the payload including the first permission, the first set of data, and the second permission. The method may also include causing, using the blended data, presentation of the visualization. Related systems and articles of manufacture are provided.

VISUALIZATIONS AND PREDICTIONS OF ONE OR MORE METRICS ASSOCIATED WITH FINANCIAL HEALTH

Disclosed herein is a system and method for determining one or more metrics indicative of a user's financial health. The system may present information using a financial oculus, including one or more visualizations. The visualization(s) may present financial information in a simple, but comprehensive format and may allow adjustments to one or more financial goals. The user may interact with the app and receive information regarding the impact certain changes may have. The system may also provide suggestion(s) associated with relationship(s). In some embodiments, the suggestion(s) may be determined based on the user's interaction with the financial oculus. Embodiments of the disclosure may include an interactive app that allows a user to explore the impacts of different financial goals by adjusting the properties of the visualization(s).

Data analyzing device

To make it easier to perform an in-depth analysis by presenting to a user which feature value influences and how it influences an objective variable in a case of automatically generating feature values. For each of a plurality of feature values, by determining a division point indicating a change in influence on an objective variable, each feature value is divided into a plurality of segments and an evaluation value is calculated using an influence degree of each segment on the objective variable as an index. The segments of the feature values for which the evaluation values have been calculated are displayed on a monitor.

Systems and methods for surfacing contextually relevant content into the workflow of a third party system via a distributed architecture

Systems and methods for surfacing contextually relevant data into the workflow of a third party system are discussed herein. The system implements a near-real-time method of detecting activity corresponding to particular electronic health records associated with particular patients in third-party systems using specifically configured software systems. A cloud-based micro-services architecture is communicably coupled to the third-party systems and is operable to transmit contextually relevant data to the third-party system in response to particular detected activities, such as accessing a patient's electronic health record. The contextually-relevant data is identified by comparing electronic health record data from various third-party systems, each third-party system associated with the particular patient, to determine gaps in the records. The contextually relevant data is transmitted to the third-party system and visually integrated into the third-party system's pre-existing clinical workflow ...

Assisting meeting participants via conversation loop detection and resolution using conversation visual representations and time-related topic usage

Detecting and resolving conversation loops during a meeting is provided. A conversation between a set of participating entities is monitored during the meeting. A visual representation of the conversation is updated within a dashboard when one or more of a first predefined set of triggers are activated based on monitoring the conversation. A conversation loop is detected in the conversation when one or more of a second predefined set of triggers are activated based on monitoring the conversation and updating the visual representation of the conversation within the dashboard. Support materials that provide support for resolving the conversation loop are retrieved from at least one of local sources including a knowledgebase and remote sources including websites. The support materials are displayed in the dashboard along with an input section for the set of participating entities to indicate a consensus for resolving the conversation loop.

Method for recommending chart, electronic device, and storage medium

The disclosure provides a method and an apparatus for recommending a chart, an electronic device, and a storage medium. The method may include: generating an input vector of at least one input field relative to each chart based on the at least one input field obtained in advance; calculating a similarity of the input vector and a predetermined feature vector corresponding to each chart; obtaining a target chart corresponding to the at least one input field based on the similarity between the input vector and the predetermined feature vector corresponding to each chart; and sending the target chart to a terminal device.

Distribution of data packets with non-linear delay

A computer system receives a data stream with a plurality of packets. In response to receiving the data stream with the plurality of packets, the computer system distributes individual packets of the plurality of packets to the inputs of each of a plurality of processing nodes. Each respective processing node has a local queue storing a respective number of packets to be processed by the respective processing node. Distributing a respective packet of the plurality of packets to the inputs of each of the plurality of processing nodes includes delaying sending the respective packet to each of the plurality of processing nodes by a delay time that is a non-linear function of an average number of packets in the local queues of the respective processing nodes.

Detecting content in a real-time video stream recorded by a detection unit

Described herein are systems and methods that search videos and other media content to identify items, objects, faces, or other entities within the media content. Detectors identify objects within media content by, for instance, detecting a predetermined set of visual features corresponding to the objects. Detectors configured to identify an object can be trained using a machine learned model (e.g., a convolutional neural network) as applied to a set of example media content items that include the object. The systems comprise an integrated detection unit configured to record media content, identify preferred content, and communicate the identifications of preferred content for storage in a computationally efficient manner.

Systems and methods for updating confidence scores of labels based on subsequent electronic activities

The present disclosure relates to methods, systems, and storage media for updating confidence scores of labels based on subsequent electronic activities. Exemplary embodiments may maintain a plurality of node profiles corresponding to a plurality of unique entities; access a plurality of electronic activities transmitted or received via electronic accounts associated with one or more data source providers; identify a first electronic activity to process; assign a tag to the first electronic activity based on the data included in the electronic activity; determine a confidence score of the tag based on the data included in the first electronic activity; identify a second electronic activity to process; and update the confidence score of the tag assigned to the first electronic activity responsive to parsing the second electronic activity.

Systems and methods for maintaining an electronic activity derived member node network

The present disclosure relates to maintaining an electronic activity derived member node network. Exemplary implementations may: generate a plurality of node profiles; generate a node graph generated from the plurality of node profiles; identify a second electronic activity identifying a pair of electronic accounts; identify using the node graph, a pair of participant node profiles corresponding to the pair of electronic accounts identified by the second electronic activity; identify, using the node graph, an edge between a pair of nodes corresponding to the pair of participant node profiles; determine a relevancy score for the second electronic activity corresponding to the pair of the participant node profiles based on context of the second electronic activity; and update the node graph by modifying the connection corresponding to the edge between the pair of participant node profiles based on the relevancy score determined for the second electronic activity.

GENERATING A DATABASE QUERY USING A DIMENSIONAL HIERARCHY WITHIN A GRAPHICAL USER INTERFACE

Association rule mining system

Identifying relations between items in transactions. Local conditional frequency pattern trees are generated in processing nodes in a computer system. The nodes in the local conditional frequency pattern trees represent items and a frequency of the items in the transactions. Global conditional frequency pattern trees are generated in the processing nodes. Each processing node in the processing nodes generates a global conditional frequency pattern tree using a set of local conditional frequency pattern trees in the processing node. The global conditional frequency pattern trees generated by the processing nodes are distributed such that each processing node in the processing nodes has the global conditional frequency pattern trees generated by other processing nodes. Patterns are generated by the computer system. A set of rules is generated using the patterns and the global conditional frequency pattern trees in the processing nodes, wherein the set of rules define the relations between ...

Generating data visualizations according to an object model of selected data sources

The method receives a visual specification, which specifies a data source, visual variables, and data fields from the data source. Each visual variable is associated with data fields and each data field is either a dimension or a measure. From an object model of the data source, the method identifies a minimal subtree that includes all of the dimension data fields and constructs a query from the minimal subtree. The method executes the query against the data source to retrieve a set of tuples, each tuple comprising a unique ordered combination of data values for the dimension data fields. For each tuple, the method forms an extended tuple by appending aggregated data values corresponding to each measure data field. The method then builds and displays a data visualization according to the data fields in the extended tuples and according to the visual variables to which the data fields are associated.

Display and analysis system for media content

An interactive display system comprising an interactive graphical user interface application displaying a graph having a y-axis representing measures of information source quality and an x-axis representing measures of information source bias, and at least one graphical representation of an information source. The system comprises one or more databases comprising quality data and bias data about the information source represented by the at least one graphical representation, the one or more databases configured to provide the information source quality data and information source bias data to the interactive graphical user interface application. The system comprises a ranking application configured to automatically place the graphical representation on the graph; and automatically update, based on new quality data and new bias data, the coordinate position placement of the graphical representation, wherein one or more graphical elements changes visually upon a user interaction with the ...

Method and system for personal colour analysis

Saunders & Co - 659011.2 A method for personal colour analysis, including the step of: providing a user with a plurality of physical colour cards, each card having on a first side at least two regions, each of 5 the regions being coloured to be complimentary to the same particular personal colouration grouping, and each card having an identifier for that personal colouration grouping; and apparatus for enabling the method to be carried out. User prepares 4--201 Card consideration Plac card No User face Yes Plac card reject pile more prominent keep pile 210 than card? 211 Repeat Card consideration 202 for each card 101 Repeat Card No Only one card consideration on card keep for each card in pile 211? card keep pile Find identifier 105 on second side 104 of card 101 from card keep pile 211 Send identifier 105 to supplier Fig. 2 ...

CORRELATED INCREMENTAL LOADING OF MULTIPLE DATA SETS FOR AN INTERACTIVE DATA PREP APPLICATION

A user interface that includes a data flow pane and a profile pane. The data flow pane displays a flow diagram that identifies a data source. For each of multiple queries against the data source, the process issues the query against the data source asynchronously with an initial block size. Upon retrieval of the initial set of rows, the process repeats the query asynchronously with an updated block size until all of the rows have been retrieved. Periodically the process determines a high water mark for rows from the data source that have been retrieved for all of the queries. When the water mark changes, the process updates the profile pane to display data value histograms for multiple data fields in the data source. Each bar in each data value histogram counts the rows below the water mark that have a single specific data value or range of data values.

A metadata blood relationship realization method based on a big data platform

Stock intelligent screening evaluation method

Communication information storage system

Line network scheduling system

Data monitoring method and Hive device for data warehouse

Visualization method, device and storage medium thereof

Multi-JSON dimensional analysis and visualization method for industrial big data based on document structure

A mobile network telephone traffic statistical analysis system

Integrated enterprise data processing system and method based on micro-service

Visual chart query method, device, equipment and computer storage medium

Operation and maintenance big data analysis method, device and system

GNSS non-real-time data source tracing visualization method and system

cave management information system in karst mountainous area

Method, device, for realizing data processing, computer storage medium and terminal

Performance calculation method and computing device

Multi-dimensional data analysis method based on interactive visualization

The invention relates to the technical field of data processing, in particular to a multi-dimensional data analysis method based on interactive visualization, comprising the following steps: step 1, receiving data content, constructing a cloud database, and forwarding the data content received in real time to the cloud database for storage; 2, traversing the stored data content in the cloud database, and synchronously identifying the format of the data content in the traversing process of the data content; 3, distinguishing and storing the data content according to a data content format identification result; by executing the steps in the method, the data content can be distinguished, stored and managed, and histograms corresponding to various data contents are further constructed according to analysis of the data volume of the data content, so that visualization of the data content is realized, and convenience is further brought to a user when the user retrieves the data content.

SYSTEMS AND METHODS FOR GENERATING A LOW-DIMENSIONAL SPACE REPRESENTING SIMILARITIES BETWEEN PATENTS

A computing device generates a patent characteristic space including patent vectors having a first number of features. Each of the patent vectors represents a respective patent family of one or more respective patents, and each of the features represents a respective property of the respective patent families represented by the patent vectors. The device performs a linear dimensionality reduction on the patent characteristic space to obtain an intermediate characteristic space that includes the patent vectors having a number of features reduced to a second number of features selected based on the respective properties of the patent families. The device performs a non-linear dimensionality reduction on the intermediate characteristic space to obtain, and present via a user interface according to a visualization preference, a reduced characteristic space that includes the patent vectors having a number of features reduced to a third number of features selected based on the visualization preference ...

METHOD AND DEVICE FOR ADAPTIVELY DISPLAYING AT LEAST ONE POTENTIAL SUBJECT AND A TARGET SUBJECT

According to an a first aspect, there is a method of adaptively displaying at least one potential subject and a target subject, the method comprising receiving an input selecting the target subject from a network graph including a plurality of subjects who appear in the proximity as the target subject (204); identifying the at least one potential subject based on a threshold, the threshold indicating the minimum level of relatedness from the target subject (206); and displaying the at least one potential subject, the target subject and an edge between each of the at least one potential subject and the target subject, the edge indicating a level of relationship between the at least one potential subject and the target subject (208).

Relative classification of data objects

Systems and methods for use in presenting a plurality of data nodes that include one or more data sets and one or more data objects, wherein each data set includes zero or more data objects and zero or more other data sets. The method includes determining, by a computing device, a data node of interest from the plurality of data nodes, wherein the data node of interest is included in one or more data sets. The computing device depicts the data node of interest as a primary node and depicts at least one of the data sets that includes the data node of interest as a secondary node that is subordinate to the primary node. The computing device also depicts an edge between the primary node and the secondary node.

Automatically Optimizing Business Process Platforms

Business process provider(s) process client data. The clients use certain formats (client formats, defined by client format fields). The client format fields instantiated in documents are analyzed. Based on this analysis, the client processes are automatically grouped into different process platforms for processing. For example, similar client processes preferably are grouped together into the same process platform, in order to increase efficiency of processing. In another aspect, the user interfaces used by the business process provider(s) may be constructed from different blocks, where the blocks are automatically defined based on the analysis of client format fields.

User customizable queries to populate model diagrams

A method, computer program product, and system for visually modeling architectures or system designs are described. A method may comprise providing an architectural model having a plurality of elements of one or more types. The method may further comprise providing a platform for a user to develop a non-software code query relating to the elements of the model. The method may also comprise executing the developed query to extract one or more of the plurality of elements from the model. The method may additionally comprise populating a diagram with the extracted one or more of the plurality of elements.

Automated detection of null field values and effectively null field values

Disclosed are systems for, and methods of, automatically detecting and treating field values of a particular field as null field values in records of a database. The system and method provide automatic treatment of these field values as null field values by calculating a critical frequency for the field. Based on the critical frequency of the field, the system and method treats field values that occur more than the critical frequency of the field as null field values and treats field values that occur less than the critical frequency as non-null field values.

Virtual systems for spatial organization, navigation, and presentation of information

Organizing information around a specific spatial domain facilitates managing objects presented in visualization layers of the spatial domain. A first portion of a first program for organizing and mapping information around a specific spatial domain is executed by a first virtual system that is created in a program execution environment operable on a network server. In response to the first virtual system invoking a continuation, a second virtual system is created to execute a second portion of the first program. Invoking the continuation in the program execution environment facilitates each of the first and second virtual systems providing only the capabilities necessary to execute their respective portion of the first program. Optionally, executing the first program includes interpreting the first program with a second program.

Service context

According to one general aspect, a method of using an application may include receiving a request, from a user, to display at least a portion of a business service context regarding a business service. The method may also include receiving, from a database, an aggregated database result regarding the business service. The aggregated database result may include the requested business service context. The business service context may include information from a plurality of other applications. The method may further include displaying a graphical user interface element that displays at least a portion of the information included by the business service context.

Sequenced query processing in data processing system

Techniques for constructing query operations associated with a report specification are described. The query operations may include a mixture of multidimensional operations and relational operations. The application of the query operations are sequenced with the computing device to reduce or eliminate certain complexities and ambiguities during generation of reports, thereby providing an improved experience for user. For example, any multidimensional rollup operation may be applied to the multidimensional representation of the data within a first timeframe and that any aggregation operation and second level filtering are applied within a second timeframe subsequent to the first timeframe. A report may be output based on a resultant data set produced by application of the query operation in accordance with the sequencing.

Visual navigation of documents by object

A navigable view of objects (e.g. charts, tables, graphs, data sources, individual sheets of a workbook, . . .) that are obtained from one or more electronic object sources are displayed as graphical objects. The objects may be automatically/manually organized within the navigable display (e.g. by type, by sheet, by relationship, by data source, . . .). A user may navigate through the displayed objects. For example, a user may zoom in on an object to see a full screen version of the object. When zoomed in on an object, the navigable display may be panned (e.g. left, right, up or down) to see adjacent objects. From one object, the user may explore related elements using the same shared data (e.g. exploring a table object also shows a data source element). A user may also perform supported operations on the objects (e.g. sort/filter/drill down/drill up) that affect a display of the related objects.

Galaxy views for visualizing large numbers of nodes

A system and method for illustrating data. An example method includes organizing the data into objects; assigning a transparency value to each object; and graphically depicting the data by distributing nodes representing the objects in a region of a visualization in accordance with a distribution method or function. Each node is displayed as partially transparent in accordance with the transparency value. In a more specific embodiment, the visualization includes a galaxy visualization with nodes that are randomly or pseudo randomly distributed about a center point or region of the visualization.

Fast index with supplemental store

A hardware and/or software search facility for searching and retrieving data stored on a mobile device. An index to the data is stored in fast memory (e.g., RAM) on the mobile device. The index contains a minimal amount of information necessary to present search results to a user. A supplemental data file is stored in storage that is local to or remote from the mobile device. The supplemental data files contain additional organized data that may be used to enhance the search results. In response to a search query, the facility uses the index to identify results that are responsive to the search query. The results are presented by the facility in accordance with predetermined rules. The facility may use the supplemental data file to perform further processing and present additional information. In some embodiments, the facility may mount or unmount indices and supplemental files from a device.

Data display device, data display method, and program product

Displaying pieces of data includes displaying a tree structure on a display device, identifying, in response to a first node being selected from among nodes constituting the displayed tree structure, all nodes connected to the first node in a high-order direction and a low-order direction as a first node group, and identifying, in response to a second node being selected, the second node not being included in the first node group, all nodes connected to the second node in the high-order direction and the low-order direction as a second node group. The second node moves toward the first node according to an operation. A node not to be displayed is determined according to a rule and movement of the second node group. A display device is instructed to display the first node group and the second node group close to each other omitting display of the determined node.

Methods and Apparatus for Presenting Search Results with Indication of Relative Position of Search Terms

Methods and apparatus are provided for presenting search results with indication of relative position of search terms. According to one aspect of the invention, search results are displayed for a search query comprising a plurality of search terms. A search query is received, for example, from a user and at least one document satisfying the search query is obtained. The disclosed method determines a relative position of at least two of the search terms in the document and at least a portion of the document is presented with an indication of the relative position of the at least two search terms in the document. The relative position is indicated using a predefined character to indicate one or more intervening elements between the at least two search terms. A relevance ranking can optionally be presented that is based on the relative position of the at least two search terms.

Visual representations of recurring revenue management system data and predictions

Visual representations of recurring revenue management system data and predictions are disclosed. A user interface is generated for an electronic display, the user interface including a graphical representation of one or more recurring revenue assets, the graphical representation representing each of the one or more recurring revenue assets according to one or more metrics that define each of the one or more recurring revenue assets. A predicted outcome for at least one of the one or more recurring revenue assets is predicted, the calculating being from a predictive model that is based on aggregate historical information collected from one or more data sources. A graphical representation of the predicted outcome is generated according to one or more parameters related to the one or more metrics, for concurrent display in the user interface with the graphical representation of one or more recurring revenue assets.

Project resource comparison view

A system and method for facilitating comparing or juxtaposing characteristics or attributes of human resources of an enterprise. The example method includes displaying one or more representations of one or more human resources and providing various user options. A first user option enables a user to add a representation of a human resource to a shortlist. A second user option enables a user to initiate a comparison operation based one or more user selected human resources chosen from the shortlist. In a more specific embodiment, the comparison operation results in display of a comparison view that juxtaposes various attributes of human resources being compared. Example attributes include numbers of keyword matches appearing in human resource profiles, availability scores, locations, billing rates, qualification scores, and so on.

ANONYMITY EVALUATION APPARATUS, ANONYMITY EVALUATION METHOD, AND PROGRAM

A technique of calculating evaluation values regarding anonymity for a table obtained by anonymizing an arbitrary table is provided. An anonymity evaluation apparatus includes an evaluation target table generation part configured to generate a first evaluation target table of p×L including L records which are sets of values of p master attributes different from each other from a table to be anonymized of M×N and generate a second evaluation target table of p×L by anonymizing the p master attributes in the first evaluation target table from an anonymized table of M×N by anonymizing the p master attributes in the table to be anonymized, where M is the number of attributes, N is the number of records, p is the number of master attributes, and L is the number of sets of values of p master attributes which are different from each other. 1. An anonymity evaluation apparatus comprising:an evaluation target table generation part configured to generate a first evaluation target table of p×L including L records which are sets of values of p master attributes different from each other from a table to be anonymized of M×N and generate a second evaluation target table of p×L by anonymizing the p master attributes in the first evaluation target table from an anonymized table of M×N by anonymizing the p master attributes in the table to be anonymized, where M is an integer equal to or greater than 2 representing a number of attributes, N is an integer equal to or greater than 1 representing a number of records, p is an integer equal to or greater than 1 and equal to or less than M representing a number of master attributes, and L is an integer equal to or greater than 1 and equal to or less than N representing a number of sets of values of p master attributes which are different from each other; andan evaluation value calculation part configured to calculate evaluation values regarding q (q≤p) master attributes which are evaluation targets from the first evaluation target table ...

Method for configuring a mom data warehouse and providing a ui to the mom data warehouse configuration and computer readable medium

A method for configuring a manufacturing operation management (MOM) data warehouse and providing a user interface (UI) to the MOM data warehouse configuration. The MOM data warehouse forms a database for the data handled within a manufacturing execution system. The method includes: a) mapping the data that has to be presented in the UI into a hierarchical data model being based on an industry classification of the manufacturing process controlled by the manufacturing execution system, the hierarchical data model having a number of levels; b) mapping the hierarchical data model into a radial control based UI; c) displaying in the radial control based UI at least two levels of the hierarchical data model; and d) providing navigation actions in order to scroll up and/or scroll down through the levels of the hierarchical data model.

INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING SYSTEM

According to an embodiment of the present invention, a probability to achieve a purpose is increased in a case where information is intermittently allocated to a plurality of elements. An information processing apparatus according to an embodiment of the present invention is an information processing apparatus that allocates information to respective elements included in a first set and includes an allocator. The allocator uses a first subset and a second subset, and allocates the information to at least one element included in the first subset. The first subset is constituted by elements which are included in the first set and in which information allocation may be performed at a present time. The second subset is constituted by elements which are included in the first set and in which the information allocation is not performed at the present time. 1. An information processing apparatus that allocates information to respective elements included in a first set , the information processing apparatus comprising:an allocator configured to allocate the information to at least one of the element included in a first subset by using the first subset and a second subset, whereinthe first subset is constituted by elements which are included in the first set and in which information allocation may be performed at a present time, andthe second subset is constituted by elements which are included in the first set and in which the information allocation is not performed at the present time.2. The information processing apparatus according to claim 1 , performs a first calculation for calculating candidates of the information to be allocated to the respective elements included in the first subset for each of a plurality of rules,', 'performs a second calculation for calculating candidates of the information to be allocated to the respective elements included in the second subset with respect to a plurality of results of the first calculation, and', 'decides the information to be ...

SYSTEMS AND METHODS FOR SEARCHING A MACHINING KNOWLEDGE DATABASE

The present disclosure relates to systems and methods for searching a machining knowledge database that includes stored 3D models and associated stored part signatures. The stored part signatures each include a shape metric that corresponds to geometric attributes of the corresponding 3D model. Methods include receiving input from a user relating to an input part, determining an input part signature that includes a shape metric that corresponds to geometric attributes of the input part, searching the machining knowledge database for similar 3D models based at least in part on the input part signature, and providing the search result to the user. Methods may include associating the input in the machining knowledge database and/or utilizing the search result, for example visualizing a comparison of the input and the search result. 1. A method for utilizing stored information of a machining knowledge database , the method comprising:receiving, by a computing device, a search query that describes an input part;parsing the search query to identify one or more input machining features of the input part, wherein each input machining feature corresponds to a collection of one or more surfaces to be formed via at least one toolpath of a corresponding machining tool; one or more geometric attributes of the input part, and', 'one or more physical properties relating to the input part;, 'performing, by the computing device and based at least in part on the one or more input machining features, a search of a machining knowledge database for one or more stored 3D models of formed parts similar to the input part, wherein the one or more stored 3D models of formed parts include a particular 3D model of a previously formed part, wherein the machining knowledge database stores a first machining code previously used to fabricate at least a first machining feature of the previously formed part in association with the particular 3D model, and wherein the search is based at least in part ...

DATA VISUALIZATION PLATFORM FOR EVENT-BASED BEHAVIOR CLUSTERING

A platform for processing event traces to generate clusters of journey maps for an interactive user display. The clustering can be implemented using a genetic process. The clustering can be implemented using a distance measures. Other clustering techniques can be used. The platform can use the clustering results to generate interactive dynamic visualizations with interactive selectable portions. The platform can integrate processing mining and journey maps to generate interactive dynamic visualizations. 1. A computer system for generating clusters of event traces , the computer system comprising:a data storage device for storing event traces, each event trace having attributes that indicate activities over time;a processor configured to process machine executable instructions to generate visual elements for the interactive interface application by:generating clusters of the event traces based on a genetic process function, each cluster corresponding to a set of event traces and a representative event trace based on representative attributes of the set of event traces, the genetic process function mapping each event trace to a cluster;generating the visual elements for an interface application, the visual elements indicating the clusters and, for each cluster, the representative event trace based on the representative attributes, the representative event trace summarizing the set of event traces corresponding to the cluster;controlling rendering of the interface application at a device to display the visual elements and a plurality of selectable portions; andresponsive to a selection of a selectable portion of the plurality of selectable portions, controlling rendering of the interface application at the device to navigate the clusters.2. The system of wherein the processor is further configured to implement the genetic process function by:evaluating initial set representative event traces to generate elite set representative event traces;generating additional ...

GENERATING FURTHER KNOWLEDGE TO PROCESS QUERY

A method includes obtaining an initial answer entigen group from a knowledge database based on a query entigen group of a query. The method further includes determining that a reliable and definitive answer for the query is not obtainable from the initial answer entigen group. When an incomplete answer entigen is a cause for the inability to obtain the reliable and definitive answer, the method further includes determining a missing element, obtaining data regarding the missing element, updating the incomplete answer entigen with the data to produce an updated answer entigen, and updating the initial answer entigen group with the updated answer entigen to produce an updated answer entigen group. When the updated answer entigen group produces the reliable and definitive answer, the method further includes outputting the reliable and definitive answer. 1. A method for execution by a computing device , the method comprises:obtaining an initial answer entigen group from a knowledge database based on a query entigen group, wherein the query entigen group represents a most likely interpretation of a query, and wherein an answer entigen of the initial answer entigen group corresponds to a partial query answer element; the initial answer entigen group includes an incomplete answer entigen; and', 'the initial answer entigen group includes an insufficient number of answer entigens; and, 'determining that a reliable and definitive answer for the query is not obtainable from the initial answer entigen group based on one or more of determining, for the incomplete answer entigen, a missing element of a set of elements that includes a characteristic, an action, and an object;', 'obtaining data regarding the missing element;', 'updating the incomplete answer entigen with the data to produce an updated answer entigen;', 'updating the initial answer entigen group with the updated answer entigen to produce an updated answer entigen group; and', 'when the updated answer entigen group ...

Epoch comparison for network policy differences

Systems, methods, and computer-readable media for identifying and categorizing changes in epoch policies between a first epoch and a second epoch. Epoch network policy data for a first epoch and a second epoch is retrieved. The retrieved epoch network policy data is used to generate hierarchically structured documents to perform epoch network policy comparisons. Epoch diffs products from the epoch network policy comparisons are provided to a user through a searchable aggregated interface.

GENERATING A QUERY RESPONSE BY COMBINING PARTIAL RESULTS FROM SEPARATE PARTITIONS OF EVENT RECORDS

Embodiments are directed are towards a method for generating a query response, which comprises creating two or more partitions of event records from raw data stored in a data store, wherein each event record in the two or more partitions of event records includes a portion of the raw data and is associated with a time stamp derived from the raw data. The method also comprises generating a summarization table for each partition of the two or more partitions that: (a) identifies a field value comprising a value that corresponds to an associated field extracted from a respective event record; and (b) for the field value, includes a posting value to the respective event record within a respective partition. The method further comprises generating partial results for a received query using summarization tables in the partitions and generating a response to the query by combining the partial results. 1. A method for generating a query response , the method comprising:creating two or more partitions of event records that are field searchable and time-stamped from raw data stored in a data store, wherein each event record in the two or more partitions of event records includes a portion of the raw data and is associated with a time stamp derived from the raw data;indexing and storing each event record of each of the two or more partitions of event records; identifies a field value comprising a value that corresponds to an associated field extracted from a respective record; and', 'for the field value, includes a posting value to the respective event record within a respective partition, wherein the respective event record contains the field value for the associated field;, 'generating a respective summarization table for each partition of the two or more partitions thatgenerating one or more partial results for a received query using summarization tables for the two or more partitions; andgenerating a response to the received query by combining the one or more partial ...

WAFER-LEVEL PACKAGE ASSEMBLY HANDLING

A chuck assembly includes an upper surface configured to support a wafer-level package assembly and a clamping mechanism securing the wafer-level package assembly to the upper surface. 1. A wafer-level package handling system , comprising:a chuck assembly defining an upper surface configured to support a wafer-level package assembly;a clamping mechanism securing the wafer-level package assembly to the upper surface.2. The handling system of claim 1 , wherein the clamping mechanism includes a central opening aligned with the wafer-level package assembly.3. The handling system of claim 1 , wherein the clamping mechanism includes a latch mechanism extending around a side edge of the chuck assembly and applying pressure between the clamping mechanism and the wafer-level package assembly.4. The handling system of claim 1 , wherein the latch mechanism is spring loaded.5. The handling system of claim 1 , wherein the upper surface includes an elastomeric ring configured to create a seal between the clamping mechanism and the upper surface and a vacuum to apply pressure to the wafer-level package assembly toward the upper surface.6. The handling system of claim 1 , further comprising an optical system used to inspect the wafer-level package assembly.7. The handling system of claim 1 , further comprising a placement mechanism configured to position the clamping mechanism relative to the wafer-level package assembly.8. The handling system of claim 7 , further comprising an actuator configured to operate a latch mechanism to secure the clamping mechanism to the chuck assembly.9. A method of handling a package assembly of a semiconductor device claim 7 , comprising:loading the package assembly on a surface of a chuck assembly;positioning a cover over the package assembly;applying pressure to the cover to secure the package assembly to the surface; andinspecting the package assembly.10. The method of claim 9 , further comprising:aligning an aperture of the cover with the package ...

Determining a collection of data visualizations

A set of transition characteristics can be identified. The set of transition characteristics can include continuities and discontinuities between data fields and data visualization channels among a plurality of data visualizations. The set of transition characteristics can be identified by analyzing the plurality of data visualizations and identifying similarities and differences among the data fields and the data visualization channels. A distribution of the data fields and the data visualization channels across the plurality of data visualizations can be determined. A collection of the data visualizations can be determined based on the distribution of the data fields and the data visualization channels across the plurality of data visualizations. The collection of the data visualizations can include at least a subset of the plurality of data visualizations.

Data linking

According to an example of the present disclosure, a system and a computer-implemented method of linking data in one or more databases are disclosed. The method includes selecting at least one domain based on a user input, where the domain is indicative of a class of data elements. Further, the method includes generating a plurality of uniform identifiers, based on the at least one domain and the one or more databases, where each of the plurality of uniform identifiers corresponds to an instance of the at least one domain. The method further includes correlating the plurality of uniform identifiers to link the instances corresponding to the plurality of uniform identifiers for linking the data stored in one or more databases.

Apparatus and method for interactively viewing and clustering data segments from long data recordings

A method for operating a data processing system and computer readable medium causing a data processing system to execute that method are disclosed. The method includes causing the data processing system to receive a plurality of first EDSs classified into a plurality of first clusters and a first RDS for each of the plurality of first clusters and displaying, a first display for each of the first clusters and a RDS for each of the first clusters. The data processing system receives information from a user specifying one or more of the first clusters to be further clustered to arrive at a specified number of second clusters into which the specified one or more first clusters are to be classified, and performing a second clustering on the selected clusters. The method also includes displaying a second display that includes a plurality of second EDSs, classified into the second clusters.

Webinterface Presentation Using Artificial Neural Networks

Roughly described, the technology disclosed provides a so-called machine-learned conversion optimization (MLCO) system that uses artificial neural networks and evolutionary computations to efficiently identify most successful webpage designs in a search space without testing all possible webpage designs in the search space. The search space is defined based on webpage designs provided by marketers. Neural networks are represented as genomes. Neural networks map user attributes from live user traffic to different dimensions and dimension values of output funnels that are presented to the users in real time. The genomes are subjected to evolutionary operations like initialization, testing, competition, and procreation to identify parent genomes that perform well and offspring genomes that are likely to perform well. 1. A non-transitory computer readable storage medium impressed with computer program instructions to produce and deploy webinterfaces , the instructions , when executed on a processor , implement a method comprising:providing a presentation database which identifies a frontend element value for each of at least one available value of each dimension of a funnel of a webinterface;determining from a neural network funnel dimension values in dependence upon user attribute data;applying the determined funnel dimension values to the presentation database to determine frontend element values; andpresenting toward a user the funnel having the determined frontend element values.2. The non-transitory computer readable storage medium of claim 1 , wherein the webinterface represents a webpage.3. The non-transitory computer readable storage medium of claim 1 , wherein the webinterface represents a mobile application.4. The non-transitory computer readable storage medium of claim 1 , wherein the webinterface represents an e-mail.5. The non-transitory computer readable storage medium of claim 1 , wherein the webinterface represents a social media message.6. The non- ...

Efficient data retrieval based on aggregate characteristics of composite tables

Techniques related to efficient data retrieval based on aggregate characteristics of composite tables are provided. A join zone map includes entries that describe data from a join relationship between a first key column of a first table and a second key column of a second table. The first table includes a dimension column. Each entry of the join zone map corresponds to a respective zone. Each zone includes contiguous data blocks that correspond to one or more second key column values. Each entry also includes a respective dimension value range of one or more dimension column values. Each dimension value range includes a respective maximum dimension value and a respective minimum dimension value. Furthermore, each entry includes a respective anti-join attribute value that indicates whether any of the one or more second key column values in a particular zone are non-null and fail to match any first key column values.

RELATIONSHIP VISUALIZATIONS FOR MULTI-DIMENSIONAL DATA MODELS

Providing visualizations of relationships among multi-dimensional data models for manufacturing intelligence systems. Storing configuration data in an intelligence data store under a configuration schema enables a multi-dimensional model visualization. The multi-dimensional data model visualization depicts all of the many-to-many, dynamic relationships between objects in a single display. 120-. (canceled)21. A server system comprising: deploy, by the one or more processors, a version 1 data source object;', 'receive, by the one or more processors, a change to the version 1 data source object from a user interface of a client device;', 'generate, by the one or more processors, a version 2 data source object;', 'store, by the one or more processors, the version 2 data source object in a configuration database;', 'receive, by the one or more processors, a request API call from the client device; and', 'return, by the one or more processors, the version 2 data source object from the configuration database to the user interface;, 'a server computer including one or more computers comprising one or more processors and one or more non-transitory computer readable media, the one or more non-transitory computer readable media including instructions stored thereon that when executed cause the one or more computers to implementwherein the version 2 data source object comprises a copy of the version 1 data source object.22. The server system of claim 21 ,wherein when the version 2 data source object is generated, the version 1 data source object stays unchanged.23. The server system of claim 21 ,wherein when the version 2 data source object is generated, a source data items and a source data item fields of version 1 remain unchanged.24. The server system of claim 22 ,wherein when the version 2 data source object is generated, a source data items and a source data item fields of version 1 remain unchanged.25. The server system of claim 21 ,wherein a model application programming ...

REVERSIBLE DATA TRANSFORMS

In an example, a method to generate a visualization of data from a data source based on a contract includes applying a first reversible transform to data of a data source to generate a first intermediate data structure without modifying the data of the data source. The method includes applying a second reversible transform to the first intermediate data structure to generate a second intermediate data structure without modifying the data of the data source. At least one of the first intermediate data structure or the second intermediate data structure is in a format suitable to satisfy a contract. The method includes displaying a visualization of the data of the data source based on the contract satisfied by one or both of the first intermediate data structure or the second intermediate data structure. The displayed visualization has a visualization type specified by the contract. 1. A non-transitory computer-readable storage medium having computer-executable instructions stored thereon that are executable by a processor device to perform or control performance of operations comprising: applying a first reversible transform to at least some of the data of the data source to generate a first intermediate data structure without modifying the at least some of the data of the data source; and', 'applying a second reversible transform to the first intermediate data structure to generate a second intermediate data structure without modifying the at least some of the data of the data source, wherein at least one of the first intermediate data structure or the second intermediate data structure is in a format suitable to satisfy the contract; and, 'mapping at least some data of a data source to a contract such that the contract is satisfied, includingdisplaying a visualization of the at least some data of the data source based on the contract, the displayed visualization having a visualization type specified by the contract.2. The non-transitory computer-readable storage ...

INTUITIVE CONTENT SEARCH RESULTS SUGGESTION SYSTEM

System and methods for intuitive search operation results using machine learning including: identifying a first candidate content item matching a content item search request; identifying a first content item model corresponding to the first candidate content item including word vector collaborative filtering representations of the first candidate content item; identifying a set of content item models where each: is associated with at least one corresponding available content item, and includes word vector collaborative filtering representations; applying deep neural learning to compare the first content item model with the set of content item models to generate a subset of the content item models most relevant to the first content item model; generating a result set of available content items corresponding to the subset of the content item models most relevant to the first content item model; and providing the result set of available content items. 1. A system for intuitive search operation results using machine learning , the system comprising:a computer processor; receive a content item search request;', 'identify a first candidate content item matching the content item search request;', 'identify a first content item model corresponding to the first candidate content item, wherein the first content item model includes word vector collaborative filtering representations of the first candidate content item;', is associated with at least one corresponding available content item, and', 'includes word vector collaborative filtering representations of the associated at least one corresponding available content item;, 'identify a set of content item models, wherein each of the set of content item models, 'apply deep neural learning to compare the first content item model with the set of content item models to generate a subset of the content item models most relevant to the first content item model;', 'generate a result set of available content items corresponding to ...

Systems and methods for data analysis and visualization and managing data conflicts

Systems and methods are provided for generating reports reflecting a visualization of, e.g., a dataset on which data analysis has been performed. The data analysis performed on the dataset may be an aggregation of data analysis functionality provided by applications or tools. Dataset visualization is realized in a workspace implemented by a separate application or tool. Potential conflicts regarding updating one or more elements of the dataset are reconciled by implementing a dual operational transform system and method. A global state of the dataset may be determined by a first operational transform system and method, while a local state of the dataset may be determined by a second operational transform system and method. The local state of the dataset may be updated through operational transforms exchanged between the first and second operational transform systems that align the local state of the dataset with the global state of the dataset.

SYSTEM AND METHOD FOR IMPLEMENTING A REPORTING ENGINE FRAMEWORK

Embodiments disclosed herein provide for systems and methods of a reporting engine framework that dynamically generates a database query. The systems and methods provide for generating the database query via an intuitive user interface, wherein the user interface interacts with a plurality of application program interfaces to retrieve and generate data associated with the database to be queried. 1. A computer-implemented method for generating a database query , the method comprising the steps of:receiving, via a user-interface displayed to an end user, a selection of: (i) one of a database view or table, (ii) a filter from a plurality of filters associated with the selected database view or table, (iii) at least one operator from a plurality of operators associated with the selected filter, and (iv) one or more unique values associated with the selected filter;dynamically generating, via a computer processor, the database query based on the received selection, wherein: the plurality of filters are retrieved by a first application program interface (API) based on the selection of the database view or table, the plurality of operators are generated by a second API based on the selection of the filter, and the unique values are retrieved by a third API based on the selection of the filter;applying the database query to one or more databases; andgenerating, via the user-interface, an output responsive to the database query.2. The method of claim 1 , wherein the database query is applied to a relational database.3. The method of claim 1 , wherein the database query is applied to a non-relational database.4. The method of claim 1 , wherein the output comprises data visualization and data analytics.5. The method of claim 1 , wherein the output comprises one or more graphical charts.6. The method of claim 1 , wherein the output is generated based on a predetermined schedule.7. The method of claim 1 , wherein the output is automatically transmitted to one or more ...

ENABLING SYMPTOM VERIFICATION

Systems, products and methods for enabling symptom verification. Verifying a symptom may include eliminating repeated symptom definitions or eliminating symptoms having low accuracy. A computer system enables verification of a symptom including a rule for detecting a set of events related to a given problem. The computer system includes a symptom database which stores the symptom, a specimen database which stores a specimen including a set of events detected according to a rule of a certain symptom, and an analysis unit which analyzes the specimen stored in the specimen database using a new symptom in order to determine whether to add the new symptom to the symptom database. The present disclosure also includes a method and a computer program for enabling verification of a symptom including a rule for detecting a set of events related to a given problem. 1. A self-managing computer system for managing rules of symptoms , the computer system comprising: a symptom database which stores existing symptoms, each of the existing symptoms having a symptom definition; and', 'a specimen database which stores existing specimens, wherein the existing specimens include a first existing specimen and a second existing specimen, wherein the first existing specimen is a subset of the second existing specimen, and wherein the existing second specimen corresponds to one of the existing symptoms stored in the symptom database; and, 'computer storage storing'} analyzing the existing second specimen using the new symptom to determine whether the existing second specimen overlaps with the new symptom according to the rule of the new symptom, including determining whether the existing second specimen includes a set of events detected according to the rule of the new symptom to determine whether to add the new symptom to the symptom database; and', 'when the existing second specimen overlaps with the new symptom, presenting a notification of the accuracy of the new symptom., 'an analysis ...

SYSTEM AND METHOD FOR GENERATING A COLUMN-ORIENTED DATA STRUCTURE REPOSITORY FOR COLUMNS OF SINGLE DATA TYPES

A system and method for generating a column-oriented data structure repository for columns of single data types. The method includes: receiving instructions to generate a new column of a single data type for a first data structure, wherein the first data structure is a column oriented data structure; and storing, based on the instructions, the new column within the column-oriented data structure repository, wherein the column-oriented data structure repository is accessible to at least a second user account. 1. A method for generating a column-oriented data structure repository for columns of single data types , comprising:receiving instructions to generate a new column of a single data type for a first data structure, wherein the first data structure is a column oriented data structure; andstoring, based on the instructions, the new column within the column-oriented data structure repository, wherein the column-oriented data structure repository is accessible to at least a second user account.2. The method of claim 1 , further comprising:receiving a request for generating a second data structure comprising at least the new column of a single data type.3. The method of claim 1 , further comprising:generating instructions to configure a display controller to display the data structure on a viewing device.4. The method of claim 3 , further comprising:generating an interactive user interface, wherein the user interface comprises for each of the column of a single data type at least one of: a column name, a column rating, a column score.5. The method of claim 4 , wherein the user interface is configured to receive at least an input claim 4 , wherein the input comprises a selection of the column of a single data type.6. A computing device for generating a column-oriented data structure repository for columns of single data types claim 4 , the computing device comprises: receive from a user device associated with a user account instructions to generate a new column of a ...

METHOD AND APPARATUS FOR DETERMINING RESPONSE FOR USER INPUT DATA, AND MEDIUM

According to exemplary embodiments of the present disclosure, a method and an apparatus for determining a response for user input data, a device, and a computer-readable storage medium are provided. The method includes: obtaining search results associated with the user input data. The method also includes: determining correlation degrees between the search results and the user input data. The method also includes: building candidate content for the user input data based on the search results and the correlation degrees. The candidate content includes a paragraph associated with the user input data in the search results. The method also includes: determining the response for the user input data from the candidate content. 1. A method for determining a response for user input data , comprising:obtaining search results associated with the user input data;determining correlation degrees between the search results and the user input data;building candidate content for the user input data based on the search results and the correlation degrees, in which the candidate content comprises a paragraph associated with the user input data in the search results; anddetermining the response for the user input data from the candidate content.2. The method of claim 1 , wherein claim 1 , determining the correlation degrees between the search results and the user input data comprises:determining a keyword in the user input data; anddetermining the correlation degrees between the search results and the user input data based on historical browsing behavior information associated with the keyword.3. The method of claim 1 , wherein claim 1 , building the candidate content for the user input data comprises:selecting a predetermined number of search results from the search results according to the correlation degrees between the search results and the user input data;determining correlation degrees between paragraphs in the predetermined number of search results selected and the user input ...

System and Method for Taxonomic Analysis of a Website

In an embodiment, a set of data visualization preferences for a plurality of directories in a target domain is received, along with a keyword landscape for a target domain. The keyword landscape is parsed according to the target domain's website structure, providing a structured landscape. Search volume data for a plurality of keywords in the keyword landscape is also received, the search volume data including a plurality of search volume data points calculated periodically for a predetermined number of time periods. A search trend is then calculated for at least a subset of the website structure in the target domain over the predetermined number of time periods, and a data aggregation is then calculated, the data aggregation based on the structured, landscape, the received search volume data, the calculated search trend, and the received set of data visualization preferences. Finally, the calculated aggregated data is displayed in graphical form.

MEASURE FACTORY

A measure factory for generating analytic measures includes data sets representing business activities arranged as columnar arrays with each column being associated with a distinct source rule that applies to the column when it is used as a data source. The measure factory includes factory rules that govern which operations on available data sources may be executed under what conditions in the measure factory, such as by taking into account the source rules and other applicable factory rules. A factory rule execution hierarchy governs the execution of ready factory rules that lack dependency on other factory rules before executing ready factory rules that have dependency on other factory rules. A script generation facility generates a script to process the plurality of factory rules according to the factory rule execution hierarchy. 1. A computer implemented system comprising:a plurality of data sets comprised of data representing business activities arranged as a columnar array wherein each column is associated with a distinct source rule that applies to the column when it is used as a data source;a plurality of factory rules that govern which operations are executed, a portion of the plurality of factory rules being configured as relationships of the distinct source rule with at least one of the plurality of factory rules;a factory rules execution hierarchy that specifies executing those factory rules that lack dependency on other factory rules before executing factory rules that have dependency on other factory rules; and wherein the portion of the plurality of data sets adjusts responsive to the factory rules processing facility operation to include available data which includes data that is only impacted by a source rule and data that has been produced by the operation of the factory rules processing facility, and', 'wherein the portion of the plurality of factory rules adjusts responsive to the factory rules processing facility operation to include factory ...

INFORMATION PROCESSING APPARATUS AND NON-TRANSITORY COMPUTER READABLE MEDIUM STORING PROGRAM

An information processing apparatus includes a storage section that stores artwork information related to each of plural artworks and a connection relationship among the plural artworks, a specifying section that specifies an artwork in the connection relationship with an artwork selected by a user among the plural artworks from the relationship stored in the storage section, and a presentation section that ranks an artist of the artwork specified by the specifying section and presents a result of ranking. 1. An information processing apparatus comprising:a storage section that stores artwork information related to each of a plurality of artworks and a connection relationship among the plurality of artworks;a specifying section that specifies an artwork in the connection relationship with an artwork selected by a user among the plurality of artworks from the relationship stored in the storage section; anda presentation section that ranks an artist of the artwork specified by the specifying section and presents a result of ranking.2. The information processing apparatus according to claim 1 ,wherein the specifying section specifies an artwork that is within a predetermined range through the connection relationship from the artwork selected by the user.3. The information processing apparatus according to claim 2 ,wherein the range is specified by the user.4. The information processing apparatus according to claim 1 ,wherein among the plurality of artworks, a reference artwork and a referenced artwork are connected.5. The information processing apparatus according to claim 4 ,wherein the presentation section does not present an artist of an artwork for which a field to which the artwork belongs is in a contrasting relationship.6. The information processing apparatus according to claim 1 ,wherein artworks of the same type are connected.7. The information processing apparatus according to claim 1 ,wherein the presentation section ranks the artist of each artwork ...

SELECTIVE EVENT STREAM DATA STORAGE BASED ON HISTORICAL STREAM DATA

The disclosed embodiments provide a system that facilitates the processing of network data. During operation, the system causes for display a graphical user interface (GUI) for configuring the generation of time-series event data from network packets captured by one or more remote capture agents. Next, the system causes for display, in the GUI, a first set of user-interface elements containing a set of statistics associated with one or more event streams that comprise the time-series event data. The system then causes for display, in the GUI, one or more graphs comprising one or more values from the set of statistics. Finally, the system causes for display, in the GUI, a value of a statistic from the set of statistics based on a position of a cursor over the one or more graphs. 1. A method performed by a configuration server coupled via a network to at least one remote capture agent , the method comprising:receiving an event stream from a remote capture agent of the at least one remote capture agent, the event stream including timestamped event data generated by the at least one remote capture agent based on network traffic monitored by the remote capture agent;identifying historical data indicating an amount of storage used by the event stream over one or more periods of time;determining a percentage of the event stream to store in one or more data stores based on historical data and a storage limit; andcausing a portion of the event stream to be stored in the one or more data stores according to the percentage.2. The method of claim 1 , further comprising generating the historical data based on the event stream without subsequently storing at least a portion of the event stream used to generate the historical data.3. The method of claim 1 , further comprising calculating an expected amount of storage to be used by the event stream relative to the storage limit based on the historical data claim 1 , wherein the percentage of the event stream to store in the one or ...

STORAGE STRUCTURE OF DATA OBJECT, METHOD AND SYSTEM FOR STORING AND DYNAMICALLY MANAGING DATA OBJECT ON COMPUTER, AND STORAGE MEDIUM AND ELECTRONIC DEVICE

This application discloses a storage structure of a data object, a method and a system for storing and dynamically managing data objects on a computer, a storage medium and an electronic device. In the method, a data object template containing attribute tuples is constructed and stored, and then the data object template is read into the memory and the storage, update, query and deletion process of data objects is managed based on the data object template. 1. A method for storing and dynamically managing a data object on a computer , comprising:{'b': '101', '(S) constructing and storing a data object template comprising an attribute tuple; and'}{'b': '102', '(S) reading a data object template into a memory, and managing storage, update, query and deletion of the data object based on the data object template.'}2101. The method of claim 1 , wherein the step (S) is performed through a step of:constructing and storing a basic information and the attribute tuple of the data object template;the basic information of the data object template comprises a unique data object template identifier, a data object template name, a type of the data object and a data object template description information;the attribute tuple comprises at least one attribute metadata;each of the at least one attribute metadata comprises a unique attribute metadata identifier, a unique attribute metadata type, a unique attribute metadata name, a unique attribute metadata value rule, a unique attribute metadata default value and a unique attribute metadata description information; the attribute metadata type comprises a basic attribute metadata and a reference attribute metadata, wherein the basic attribute metadata is configured to define a basic data type comprising a text data, a numeric data and a time data; the reference attribute metadata is configured to define a reference association between data objects by associating an identifier of other data object templates, and define whether the ...

STRUCTURED-DATA ANALYSIS AND VISUALIZATION

Methods and systems for accessing, maintaining, analyzing, and visualizing structured data are presented. The system receives from a requesting computing device, a first request for a first hierarchical record. The system searches a first repository having first structured data. The system determines whether the first hierarchical record is present in the first structured data and creates, based on the first hierarchical record, a snapshot query criterion. The system then searches, based on the snapshot query criterion, a second repository comprising a first snapshot of the first structured data. The system determines whether a second hierarchical record at least partially matches the first hierarchical record. In response to determining that the first hierarchical record at least partially matches the second hierarchical record, the system determines whether version information associated with the first snapshot of the first structured data is available and transmits information associated with the second hierarchical record. 1. A method comprising:receiving, using one or more computing device processors, from a requesting computing device, a first request for a first hierarchical record associated with first version information, wherein the first hierarchical record comprises a first first-level field entry, a first second-level field entry, a first third-level field entry, and a first category field entry;searching, using the one or more computing device processors, a first repository, comprising first structured data, for the first hierarchical record;determining, using the one or more computing device processors, whether the first hierarchical record is present in the first structured data comprised in the first repository;in response to determining the first hierarchical record is present in the first structured data comprised in the first repository, creating, using the one or more computing device processors, based on the first hierarchical record in the ...

INTERACTIVE INTERFACE FOR DATA ANALYSIS AND REPORT GENERATION

Embodiments are directed to managing data visualizations. A primary visualization that is associated with a data model may be provided such that the primary visualization may be displayed in a display panel. Insight items may be generated based on the primary visualization and the data model such that the insight items may correspond to one or more visualizations that may share one or more portions of the data model and such that the insight items may be displayed in an insight panel. In response to an insight item being selected from the insight panel, additional actions may be performed, including: generating a visualization based on the insight item that is displayed in the display panel instead of the primary visualization; and generating a scratch item that includes a thumbnail view of the primary visualization such that the thumbnail view is displayed in a scratch panel. 1. A method for managing data visualizations using one or more processors that execute instructions to perform actions , comprising:providing a primary visualization that is associated with a data model, wherein the primary visualization is displayed in a display panel;generating one or more insight items based on the primary visualization and the data model, wherein the one or more insight items correspond to one or more visualizations that share one or more portions of the data model, and wherein the one or more insight items are displayed in an insight panel; generating a visualization based on the insight item that is displayed in the display panel instead of the primary visualization; and', 'generating a scratch item that includes a thumbnail view of the primary visualization, wherein the thumbnail view is displayed in a scratch panel; and, 'in response to selecting an insight item from the insight panel, performing further actions, includingin response to selecting one or more of another insight item from the insight panel or another scratch item from the scratch panel, generating ...

PROVIDING AND SURFACING METRICS FOR VISUALIZATIONS

Embodiments are directed to generating metrics based on visualizations. A dashboard that may be associated with source visualizations display a current value of metrics from source visualization models. A classifier may automatically use characteristics from the source visualizations to determine metrics for the source visualization. The source visualization models may be sample to provide values of the metrics across time, at a sampling rate determined by a metric profile. The sampled values may be stored with time values in a metric data store such that the time values may correspond to when the values sampled from the visualization. Metric visualizations may be generated based on the values and the time values such that the metric visualizations display previously sampled values of the metrics. 1. A method for generating metrics based on visualizations using one or more processors that execute instructions to perform actions , comprising:providing a dashboard that is associated with one or more source visualizations that each display a current value of one or more metrics from one or more source visualization models, wherein each source visualization corresponds to a specification and a source visualization model;evaluating each specification to determine one or more characteristics of each source visualization, wherein the one or more source visualizations are classified based on one or more classifiers and the one or more characteristics;determining the one or more metrics for each classified source visualization based on the one or more classifiers;generating one or more metric profiles that correspond to the one or more metrics based on the one or more classifiers;sampling the one or more source visualization models to provide one or more values of the one or more metrics, wherein a sampling rate is based on the one or more metric profiles;storing the one or more sampled values with one or more time values in a metric data store, wherein the one or more time ...

KNOWLEDGE GRAPH ANALYTICS KERNELS IN HIGH PERFORMANCE COMPUTING

Data mining large-scale corpora of scholarly publications, such as the full biomedical literature, which may consist of tens of millions of papers spanning decades of research. The present disclosure provides a Distributed Accelerated Semiring All-Pairs Shortest Path (DSNAPSHOT) algorithm for computing shortest paths of a knowledge graph using distributed-memory parallel computers accelerated by GPUs. DSNAPSHOT implementations can analyze connected input graphs with millions of vertices using a large number graphics processing units (e.g., the 24,576 GPUs of the Oak Ridge National Laboratory's Summit supercomputer system). DSNAPSHOT provides sustained performance of about 136*10floating-point operations per second (136 petaflop/s) at a parallel efficiency of about 90% under weak scaling and, in absolute speed, 70% of the performance given our computation (in the single-precision tropical semiring or “min-plus” algebra). DSNAPSHOT may enable mining of scholarly knowledge corpora when embedded and integrated into artificial intelligence-driven natural language processing workflows at scale. 1. A method , performed by a high-performance computing system , to enable mining of existing information and deriving new knowledge , the method comprising:receiving from multiple textual databases information about a set of articles and annotations relating to concepts that appear in the articles;forming a first knowledge graph using the entire received information and annotations, the knowledge graph having nodes connected by edges, where some of the nodes represent respective articles and the remaining nodes represent respective concepts, and edges between concept nodes represent relations between concepts, edges between concept nodes and article nodes represent relations between concepts and articles, and edges between article nodes represent relations between articles;determining shortest paths between all pairs of nodes of the first knowledge graph;forming a second knowledge ...

Data Analysis Process Assistance Device and Data Analysis Process Assistance Method

The design and development of a data analysis process is assisted and the burden on the user such as a data analyst in data analysis process is reduced. For a data analysis performed by executing each of a data access process, a data analysis process, and an analysis result visualization process, a data analysis process assistance device stores analysis process setting information including setting information for variables commonly used between the respective processes, and plugins corresponding to the respective processes, each of the plugins including basic information that is information on contents of the respective processes, a program code used as a base to generate a template for a program for achieving each of the processes, the variables of the analysis process setting information, and a description related to a variable cross-referenced between the respective processes; and generates the template while ensuring a relationship or consistency between the analysis process setting information and the plugins corresponding to the respective processes. 1. A data analysis process assistance device for assisting a data analysis performed by executing each of a data access process , a data analysis process , and an analysis result visualization process , the data analysis process assistance device comprising:a processor and a storage device;a storage unit configured to store analysis process setting information including setting information for variables commonly used between the respective processes, and plugins corresponding to the respective processes, each of the plugins including basic information that is information on contents of the respective processes, a program code used as a base to generate a template for a program for achieving each of the processes, the variables of the analysis process setting information, and a description related to a variable cross-referenced between the respective processes; andan execution information generation unit ...

DIMENSION LIMITS IN INFORMATION MINING AND ANALYSIS

Provided are methods, systems, and computer readable media for user interaction with database methods and systems. In an aspect, a user interface can be generated to permit dynamic display generation to view data. The system can comprise a visualization component to dynamically generate one or more visual representations of the data to present in the state space. 1. A method for data analysis , comprising:processing a dataset resulting in a first multidimensional data structure, the dataset having a table structure comprising one or more tables; andgenerating a second multidimensional data structure by applying one or more dimension limits to the first multidimensional data structure, wherein the one or more dimension limits control a number of values displayed for corresponding dimensions of the first multidimensional data structure.2. The method of claim 1 , wherein applying the one or more dimension limits to the first multidimensional data structure comprises configuring one or more user interface elements.3. The method of claim 1 , wherein applying the one or more dimension limits to the first multidimensional data structure comprises applying a dimension limit to a selected dimension variable of the second multidimensional data structure in response to a selection of a specific display option.4. The method of claim 1 , wherein processing the dataset resulting in the first multidimensional data structure comprises evaluating a mathematical function for one or more dimension variables in the table structure.5. A method comprising:processing a dataset resulting in a first multidimensional data structure, the dataset having a table structure comprising one or more tables; andgenerating, based on one or more dimension limits applied to the first multidimensional data structure, a second multidimensional data structure comprising a first specific portion, wherein the one or more dimension limits control a number of values displayed for corresponding dimensions of ...

QUERYING AND PROJECTING VALUES WITHIN SETS IN A TABLE DATASET

Embodiments of the present invention provide systems and methods for visualizing and querying data. Data subsets within an original table are examined. Values within the data subsets are extracted. Based on the extracted values, a new table is generated. The data contents of the original table differ from the data contents of the new table. Thus, the resulting visualization of the original table differs from the resulting visualization of the new table. 1. A method for visualizing and querying data , the method comprising:extracting, by one or more processors, a first set of data from a plurality of data within a first table;determining, by one or more processors, a set of patterns within the first set of data, wherein the set of patterns are based at least in part on common linguistic patterns across entries in the first set of data;identifying, by one or more processors, a second set of data, wherein the second set of data comprises values fitting a common linguistic pattern across a set of values associated with the first set of data within the first table;generating, by one or more processors, a second table based on the first set of and the second set of data; andoutputting, by one or more processors, a visualization using columns, based on an analysis of the second table.2. The method of claim 1 , further comprising:determining, by one or more processors, a set of trends within the first set of data, wherein the set of trends are based at least in part on repeating values between entries in the first set of data; andparsing, by one or more processors, the first set of data for repeating values and data formats in order to corroborate the set of patterns and trends.3. The method of claim 1 , wherein identifying the second set of data claim 1 , comprises:extracting, by one or more processors, unique values from the plurality of values in the first table;generating, by one or more processors, the second table upon extracting the unique values; andresponsive to ...

Interactive punchcard visualizations

Disclosed are a system and a method for providing user-interactive diagrams. In an embodiment, a machine data search and analysis system retrieving search results including a plurality of events, in response to a search query. The system identifies a first characteristic type from data of the plurality of events as a horizontal dimension of a multidimensional chart, and a second characteristic type from the retrieved data as a vertical dimension of the multi-dimensional chart. The system causes display of the multi-dimensional chart indicative of the data of the plurality of events. The multi-dimensional chart includes a table of a plurality of objects. Each object of the plurality of objects represents one or more events that share a common value of the first characteristic type and share a common value of the second characteristic type.

Interactive parallel coordinates visualizations

Disclosed are a system and a method for providing user-interactive parallel coordinates charts. In an embodiment, a machine data search and analysis system retrieves search results including a plurality of events, each of the events containing time-stamped data in response to a search query. The system identifies a plurality of characteristics from the data corresponding to the events. The system causes display of a multiple-dimensional chart (e.g., a parallel coordinates chart) depicting the data corresponding to the events. The multiple-dimensional chart includes a plurality of axes. Each of the axes corresponds to one of the identified characteristics. The multiple-dimensional chart further includes a plurality of poly lines representing the events. Each of the poly lines includes a plurality of vertices on the axes.

METHOD AND SYSTEM FOR DATA EXPLORATION

The present application relates to a method and system for data exploration, the method comprising: selecting a specified research indicator from an indicator library according to input information; acquiring a data set, a research variable, and a research parameter corresponding to the research variable; matching available flows containing the research indicator and the research parameter from a flow library; selecting an exploration flow from the available flows according to an input instruction, and selecting an exploration data set from the data set; generating an output program code and an output program description of the exploration flow; executing the output program code of the exploration flow, exploring the exploration data set, and outputting an exploration result. In the solution of the present application, as long as a data set to be processed is submitted and the research indicator and the research parameter used in the exploration process are provided, a program code can be automatically output and called up to perform data exploration, thus greatly saving researcher's efforts in writing codes, and improving the data exploration efficiency. 1. A method for data exploration , comprising the steps of:selecting a specified research indicator from an indicator library according to input information;acquiring a data set, a research variable, and a research parameter corresponding to the research variable;matching available flows containing the research indicator and the research parameter from a flow library;selecting an exploration flow from the available flows according to an input instruction, and selecting an exploration data set from the data set;calling up a program code corresponding to the exploration flow, and generating an output program code and an output program description of the exploration flow; andexecuting the output program code of the exploration flow, exploring the exploration data set, and outputting an exploration result, wherein:the ...

NESTED SORTING OF DATA MARKS IN DATA VISUALIZATIONS

An exemplary method receives user actions to (i) associate a first field with a first shelf and (ii) associate second and third fields with a second shelf. The second field is positioned at an outer-most position on the second shelf and the third field is positioned at an inner-most position on the second shelf. The method receives an additional user action to specify a nested sort according to data for the first and third fields. The method generates and displays a data visualization in accordance with the received actions, including: (i) partitioning retrieved data into groups of tuples, each tuple including data for the fields, and each group of tuples corresponding to a distinct value of the second field, (ii) forming panes, each pane corresponding to a respective group of tuples, and (iii) within each pane, displaying data marks, each data mark corresponding to a respective tuple. 1. A method comprising: displaying a user interface on the display, wherein the user interface comprises (i) a schema information region containing a plurality of data fields and (ii) a data visualization region having a plurality of shelves;', 'receiving user actions to (i) associate a first data field of the plurality of data fields with a first shelf of the plurality of shelves and (ii) associate a second data field and a third data field of the plurality of data fields with a second shelf of the plurality of shelves, wherein the first data field is a measure, the third data field is a dimension, the second data field is positioned at an outer-most position on the second shelf, and the third data field is positioned at an inner-most position on the second shelf;', 'receiving, via an affordance displayed in the data visualization region, an additional user action to specify a nested sort operation according to data for the first data field and the third data field;', partitioning retrieved data into groups of tuples, each tuple including data for the first, second, and third data ...

METHODS, SYSTEMS, AND COMPUTER PROGRAM PRODUCT FOR IMPLEMENTING REAL-TIME CLASSIFICATION AND RECOMMENDATIONS

Disclosed are techniques for classifying inquiries and providing recommended actions. These techniques identify or generate a data model that receives and classifies an inquiry into at least one class in real-time or nearly real-time. One or more actions may be determined based at least in part on the at least one class and presented in a user interface to a user who first submitted the inquiry. 1. A computer implemented method for classifying data and providing recommendations in a user interface , comprising:identifying or generating a data model;receiving, at a data model generation module stored at partially in memory and including or coupled with at least one micro-processor, an inquiry from a user computing or communication device, the inquiry including one or more terms;classifying, by the data model, the one or more terms of the inquiry into one or more classes associated with one or more hierarchical data structures in real-time or nearly real-time;determining one or more recommended actions from a plurality of stored actions, the recommended actions being linked to the one or more classes for the inquiry; andpresenting at least one recommended action of the one or more recommended actions in a user interface of the user computing or communication device to the user in response to the inquiry.2. The computer implemented method of claim 1 , further comprising:transforming, at a transformation module stored at least partially in the memory, the data model into a transformed data model.3. The computer implemented method of claim 2 , whereinthe transformed data model is installed on the user computing or communication device or on a remote computing system, andthe data model is configured in a first programming language, and the transformed data model is transformed from the first programming language into a second programming language.5. The computer implemented method of claim 4 , further comprising:in response to determining that the inquiry can be ...

BROWSE NODE CREATION USING FREQUENT PATTERN MINING

A browse node page is addressed by its path. As a result, a web crawler may be more likely to find the browse node than the corresponding parameter-based search page. The browse node may be further distinguished from a search result page by the use of a title or header metatag that indicates information about the browse node and distinguishes the browse node from a general search result page. The number of combinations of keywords, categories, and key-value pairs makes the creation of a browse node for every possible combination prohibitive in all but the simplest applications. Methods and systems to identify which search result pages should be converted to browse nodes are disclosed herein. 1. A method comprising:accessing data representative of a list of potential browse nodes, the list including at least a first potential browse node including a first set of items and a second potential browse node including a second set of items;determining a degree of overlap between the first set of items and the second set of items;determining that the degree of overlap is greater than a threshold degree of overlap; andbased at least in part on the degree of overlap exceeding the threshold degree of overlap, generating a browse node based at least in part on the second potential browse node.2. The method of claim 1 , wherein the generating the browse node includes generating a uniform resource locator (URL) based at least in part on a key-value pair associated with the second potential browse node.3. The method of claim 1 , wherein the determining the degree of overlap is based at least in part on a count of the first set of items and the second set of items claim 1 , a first percentage of the first set of items included in the second set of items claim 1 , a second percentage of the second set of items included in the first set of items claim 1 , or a combination thereof.4. The method of claim 1 , wherein the first potential browse node and the second potential browse node ...

ADAPTIVE SEARCH REFINEMENT

A computer-implemented method for adaptive search refinement is provided. The method may include obtaining an indication of user engagement with an online marketplace and in response to obtaining the indication, providing visually guided search refinement to construct a search query for searching the online marketplace. Providing the visually guided search refinement may include providing search refinement options, obtaining an indication of the approval or disapproval of one or more of the search refinement options, and repeating providing the search refinement options and receiving the indication. For each iteration of providing the plurality of search refinement options, at least some of the search refinement options may be different and determined based on previously received indications of both approval and disapproval. The method for adaptive search refinement may further include providing search results based on the search query. 1. A system for adaptive search refinement , the system comprising:one or more processors; andone or more computer storage media storing computer-useable instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising:receiving a first search query;generating, based at least in part on the first search query failing to satisfy a threshold level of specificity, a visually guided search refinement comprising one or more search refinement options and one or more approval icons corresponding to the one or more search refinement options;receiving one or more indications of approval via the one or more approval icons; andgenerating a second search query based at least in part on the first search query and the received one or more indications.2. The system of claim 1 , the operations further comprising:causing presentation of a search result comprising at least one item listing identified based at least in part on the second search query.3. The system of claim 1 , the ...

INFORMATION PRESENTATION DEVICE, INFORMATION PRESENTATION METHOD, AND STORAGE MEDIUM

An information presentation device includes a plot unit, a histogram generation unit, and a visual information generation unit. The plot unit plots a plurality of values included in each of a plurality of pieces of multidimensional data on a plurality of axes in a parallel coordinate plot coordinate system. The histogram generation unit divides each of the plurality of axes into a plurality of sections, and generates a plurality of histogram bars each of which corresponds to the number of values plotted in each section in the plurality of sections. When one or more values are selected as selected values, the visual information generation unit generates visual information with which the ratio of the number of selected values to the total number of values contained in any one histogram bar out of the respective histogram bars generated by the histogram generation unit can be identified. 1. An information presentation device comprising:a plot unit configured to plot a plurality of values contained in each of a plurality of pieces of multidimensional data on a plurality of axes in a parallel coordinate plot coordinate system;a histogram generation unit configured to divide each of the plurality of axes into a plurality of sections and generate a histogram including a plurality of histogram bars each of which corresponds to a number of values plotted within each section in the plurality of sections; anda visual information generation unit configured to generate visual information with which a ratio of a number of selected values to a total number of values contained in any one histogram bar out of respective histogram bars generated by the histogram generation unit can be identified when one or more values out of respective values plotted on the plurality of axes are selected as the selected values.2. The information presentation device according to claim 1 , wherein the visual information generation unit generates claim 1 , as the visual information claim 1 , a stack of ...

SYSTEMS AND METHOD FOR SHARED VISUALIZATION LIBRARY

Visualizations are automatically generated based at least on a received identifier that identifies a report. One or more data sets and one or more style configurations are retrieved from a shared visualization library via a backend API based on the received identifier and passed to a router component. The router component includes a switch that renders a score component, which generates a score visualization, if the retrieved data sets include score data. If the data sets include time series data, or the score visualization also includes a time series graph, the router component renders a time series component that passes the data sets and the style configurations to a parser that parses the data sets and the style configurations and outputs one or more highcharts options objects. A highcharts component generates the time series visualizations and/or adds the time series graph to the score visualization based on the highcharts options objects. 1. A system , comprising:a processor; receiving a request for a report, wherein the request comprises an identifier identifying the report;', 'retrieving, via a backend API, based on the identifier, one or more data sets and one or more style configurations associated with the report from a visualization library, wherein the visualization library comprises a plurality of visualization templates;', 'determining that the one or more data sets comprise data for a score visualization; and', 'generating the score visualization based on the one or more data sets and the one or more style configurations., 'a memory, accessible by the processor, and storing instructions that, when executed by the processor, cause the processor to perform operations comprising2. The system of claim 1 , wherein the operations comprise:determining that the one or more data sets comprise data for a time series visualization; andgenerating the time series visualization based on the one or more data sets and the one or more style configurations.3. The ...

Digital Resource Set Integration Methods, Interfaces and Outputs

Retrieving information from an informational resource is described. A system can include: a computer processor(s); display device(s) operatively coupled with the processor(s); searchable database(s) including at least a portion of an informational resource broken into a plurality of discrete finite elements and a respective plurality of categorical tags respectively describing content for each of the plurality of discrete finite elements, where the informational resource includes at least three levels of granularity for the information, from a shallow level of granularity to a deep level of granularity. A search querry can be executed and the corresponding results displayed based on a requested level of granularity.

Query capabilities of topological data analysis graphs

A method comprises receiving a data set, mapping data points from the data set to a reference space utilizing a lens function, generating a cover of the reference space using a resolution function, clustering the data points mapped to the reference space using the cover and a metric function to determine each node of a plurality of nodes of a graph, generating a graph including the plurality of nodes, the graph including an edge between every two nodes that share at least one data point as a member, and generating first and second data structures, the first data structure identifying membership of each node, the second data structure identifying each edge between each of the two nodes, the second data structure further identifying the nodes that are connected by each edge, the first and second data structure being capable of being queryable using a query language.

Method And System For Preview Of Search Engine Processing

Aspects of the disclosed technology include a method including receiving, from a user device, an identification of content; receiving, by a computing device, the identified content; accessing search engine processing logic; processing the received content using the subset of search engine processing logic, without indexing the received content to be accessed for responding to search queries from the search engine; generating a representation of a predicted search result of the received content based on the processing; and transmitting, to the user device, the representation of the predicted search result. 1. A method comprising:receiving, from a user device, an identification of content;receiving, by a computing device, the identified content;accessing search engine processing logic;processing the received content using the subset of search engine processing logic, without indexing the received content to be accessed for responding to search queries from the search engine;generating a representation of a predicted search result of the received content based on the processing; andtransmitting, to the user device, the representation of the predicted search result.2. The method of further comprising:outputting a tool for identifying content,wherein the identification of the content is received by way of the tool.3. The method of further comprising:receiving, from the user device, a request to index the content based on the predicted search result; andindexing, in response to the request, the content to be accessed for responding to search queries.4. The method of claim 1 , wherein the receiving the identification of the content comprises receiving claim 1 , from the user device claim 1 , the identification of the content without initializing a request for the identification.5. The method of claim 1 , wherein the processing comprises:creating an isolated environment separated from a production environment of the search engine; andprocessing the content in the isolated ...

Separate Runtime Data From Metadata

Runtime data for generating visualizations based on a query is stored separate from metadata in memory, thereby allowing for other runtime data for different visualizations based on the same query to reference that metadata without duplicating the metadata in memory. First metadata of first query data received from a server is loaded into a metadata store in memory. First runtime data for a first visualization is loaded in memory separately. The first runtime data uses the first metadata without reloading the first metadata on the one or more primary memory devices. Second runtime data for a second visualization may also use the first metadata of the metadata store such that the first metadata is not reloaded into the memory. 1. A computer system , comprising:one or more processors;one or more primary memory devices coupled to the one or more processors;one or more machine-readable medium coupled to the one or more processors and storing computer program code comprising sets instructions executable by the one or more processors to:obtain a first request from an application for a first visualization based on a first query of a server;load first metadata of first query data received from the server into a metadata store on the one or more primary memory devices;load first runtime data for the first visualization into the one or more primary memory devices separate from the metadata store, the first runtime data using the first metadata of the metadata store without reloading the first metadata on the one or more primary memory devices;generate the first visualization based on the first runtime data and the first metadata;obtain a second request from the application for a second visualization based on the first query that the first visualization is based on;in response to the second request, determine that the first metadata of the first query data is loaded in the metadata store;in response to the determination that the first metadata of the first query data is loaded ...

SHADOW EXPERIMENTS FOR SERVERLESS MULTI-TENANT CLOUD SERVICES

Aspects of the present invention disclose a method, computer program product, and system for query execution in a multi-tenant cloud service. The method includes one or more processors determining category classes for service queries. The method further includes sending for execution, a selected number of service queries from one of the determined category classes to a shadow query engine. Respective service queries of the categorically classified service queries comprise a different set of configuration parameter values for the shadow query engine. The method further includes recording metadata for the selected number of service queries of the one category class executed on said shadow query engine. The method further includes determining correlations between the recorded metadata. The method further includes determining, from the determined correlations, optimal configuration parameter values comprising optimal configuration parameters for executing the selected number of service queries of the one category classes. 1. A computer-implemented method for query execution in a multi-tenant cloud service , the method comprising:determining, by one or more processors, category classes for service queries;sending, by one or more processors, for execution, a selected number of service queries from one of the determined category classes to a shadow query engine, wherein respective service queries of the categorically classified service queries comprise a different set of configuration parameter values for the shadow query engine;recording, by one or more processors, metadata for the selected number of service queries of the one category class executed on said shadow query engine, wherein the metadata comprises, performance data, a query category class, and at least one value of related configuration parameter values;determining, by one or more processors, correlations between the performance data, the query category class, and the least one value of related configuration ...

Ad hoc data exploration tool

The disclosed application relates to a tool by which a user may create a cloud workspace that includes a data memory space, as well as a tool for automatically identifying ad-hoc analyses on that data. The solution allows a user to connect to data sources using SQL or GUI tools, combine data from different data sources, prepare and clean the data, mine the data for insights, and move that data into downstream reporting tools for visualization. The system is linked to a code repository to allow data scientists to execute code from the code repository in trial data spaces, investigate that data, and prepare more in-depth analytics for downstream reporting tools.

SYSTEM AND METHOD FOR DOSSIER CREATION WITH RESPONSIVE VIEW HANDLING FOR FREE-FORM LAYOUT

A method (and system) includes retrieving a dataset from a database, creating, on a first platform, a report including a visual representation of the dataset, automatically formatting the report to a second platform and displaying the report on a graphical user interface of the second platform. The first platform is a desktop computer or a laptop computer and the second platform is a tablet device or a handheld mobile device. The visualization of the dataset includes data containers in a first arrangement. The data containers are automatically formatted into a second arrangement to fit the graphical user interface of the second platform. 1. A method , comprising:retrieving a dataset from a database;creating, on a first platform, a report including a visual representation of the dataset, the visual representation comprising multiple data containers; if no group relationship between the multiple data containers exists, treating each of the multiple data containers as one separate bounding box and displaying the multiple data containers one by one;', 'if an overlap exists between the multiple data containers, maintaining the overlap on the second platform; and', 'if an overlap exists between two or more of the multiple data containers, treating the two or more of the multiple data containers as one bounding box including any spacing area between the multiple data containers and formatting the multiple data containers in the one bounding box to dimensions of the second platform by width ratio; and, 'automatically formatting the report to a second platform, said automatically formatting the report comprising changing an arrangement of the multiple data containers to fit the second platform, said changing the arrangement being conducted based on the following formatting rulesdisplaying the report on a graphical user interface of the second platform.2. The method according to claim 1 , wherein the first platform is a desktop computer or a laptop computer and the second ...

DYNAMIC VISUALIZATION OF APPLICATION AND INFRASTRUCTURE COMPONENTS WITH LAYERS

Systems and methods for providing dynamic visualization of application and infrastructure components are disclosed. In one embodiment, in an information processing apparatus comprising at least one computer processor, a system for providing dynamic visualization of application and infrastructure components may include: (1) receiving, at an interface and from a requestor, a request for information about an application or infrastructure; (2) querying one or more systems of record or a data cache containing data from the one or more systems of record for data about the application or infrastructure components within the infrastructure; (3) formatting the data received from the one or more systems of record or the data cache according to a data definition; (4) identifying relational links between the applications and the infrastructure components in the formatted data; and (5) graphically rendering the formatted data and relational links in a plurality of interactive levels. 1. A method for providing dynamic visualization of application and infrastructure components , comprising: receiving, at an interface and from a requestor, a request for information about an application or infrastructure;', 'querying one or more systems of record or a data cache containing data from the one or more systems of record for data about the application or infrastructure components within the infrastructure;', 'formatting the data received from the one or more systems of record or the data cache according to a data definition;', 'identifying relational links between the applications and the infrastructure components in the formatted data; and', 'graphically rendering the formatted data and relational links in a plurality of interactive levels., 'in an information processing apparatus comprising at least one computer processor2. The method of claim 1 , wherein the requestor comprises a user or an API client.3. The method of claim 2 , further comprising:accessing data with entitlement ...

Progressive data distribution visualization

A bubble is displayed in a visualization that is based on a number of distinct values pertaining to the concept and on a number of records in the dataset including at least one of the distinct values pertaining to the concept. Furthermore, the dataset includes records from one or more databases organized into a concept hierarchy. The bubble includes, for a level of the concept hierarchy, a plurality of indicators each representing one of the distinct values at the level of the concept hierarchy. An interaction with the bubble visualization is received. Responsive to receiving the interaction, the bubble visualization is updated by adjusting the bubble to include a radial bar graph representative of a relative quantity of each distinct value of the concept represented by the bubble at each indicator of the plurality of indicators.

ELECTRONIC DEVICE AND METHOD FOR EXCHANGING DATA AMONG ENTERPRISE MANAGEMENT SYSTEMS

A method for exchanging data among several enterprise management systems includes receiving and processing data sent by a first system, and recording a task of writing data to a second system in a database of an electronic device, and setting the recorded task as unfinished task. A list of unfinished tasks is acquired from the database in predetermined time period, and a result of query can be generated by searching or interrogating the second system as to the list of unfinished tasks. When the second system has finished the task, the task for writing data in the second system is set as finished. 1. A method for exchanging data between enterprise management systems applied to an electronic device , the method comprising:receiving and processing data sent by a first system;recording a data-writing task to a second system in a data base of the electronic device, and setting the recorded task as an unfinished task;acquiring a list of unfinished tasks from the database in a predetermined time period;generating a query result by inquiring the second system according to the list of unfinished tasks;determining whether the second system has finished the data-writing task based on the query result; andsetting the data-writing task in the second system as being finished, and updating a task when the second system has finished the data-writing task.2. The method according to claim 1 , further comprising:receiving a request from the first system to write data.3. The method according to claim 2 , further comprising:writing the request into a message queue.4. The method according to claim 1 , wherein the generating a query result by inquiring the second system according to the list of unfinished tasks comprises:starting a plurality of child threads simultaneously according to the list of unfinished tasks; anddividing a task of querying the second system into a plurality of subtasks and sending the plurality of subtasks to the plurality of child threads for execution.5. The ...

DATA ANALYSIS ENGINE

A system and method of analyzing data receives a user-specified selection of a data source, a user-specified selection of a type of data representation, and a user-specified description of a view to be constructed in accordance with the user-specified selection of the type of data representation. An application program interface (API) function generates a multidimensional query based on the user-specified type of data representation and the user-specified description of the view to be constructed, and submits the multidimensional query to the an On-line Analytical Processing (OLAP) server. The application program interface (API) function receives a multidimensional response from the OLAP server containing results acquired by the multidimensional query of the data source, and generates the view based on the results contained in the multidimensional response and in accordance with the user-specified selection of the type of data representation and the user-specified description of the view. 1. A method of analyzing data , comprising:receiving a user-specified selection of a data source;receiving a user-specified selection of a type of data representation;receiving a user-specified description of a view to be constructed in accordance with the user-specified selection of the type of data representation;generating, by an application program interface (API) function, a multidimensional query based on the user-specified type of data representation and the user-specified description of the view to be constructed;submitting, by the API function, the multidimensional query to an On-line Analytical Processing (OLAP) server for searching the data source;receiving, by the application program interface (API) function, a multidimensional response from the OLAP server containing results acquired by the multidimensional query of the data source; andgenerating the view based on the results contained in the multidimensional response and in accordance with the user-specified selection ...

Hierarchical Clustering

In one embodiment, a method includes receiving data points, determining first-level cluster centroids using the data points, and assigning each data point to at least one first-level cluster centroid. The method also includes determining second-level cluster centroids using data points assigned to a particular first-level cluster centroid and assigning each of the data points previously assigned to the particular first-level cluster centroid to at least one second-level cluster centroid. The method further includes determining clusters based on the first-level cluster centroids and the second-level cluster centroids, and assigning each data point to at least one cluster.

ENHANCING SPARSE INDEXES

A data structure associated with a sparse index is determined to include a plurality of redundant keys with at least one set of duplicate keys. The at least one set of duplicate keys is ranked, according to a set of criteria. According to the ranking, a first set of duplicate keys from the at least one set is selected. In place of the first set, a first guard node is inserted. The first guard node includes a first key value identical to the first set of duplicate keys and is linked to a first set of field nodes representing a first set of field values associated with the first set of duplicate keys. 1. A method for enhancing a sparse index , the method comprising:determining a data structure associated with the sparse index includes a plurality of redundant keys, the plurality including at least one set of duplicate keys;ranking the at least one set of duplicate keys, according to a set of criteria;selecting, according to the ranking, a first set of duplicate key nodes from within the at least one set; andinserting, in place of the first set, a first guard node, wherein the first guard node includes a first key value identical to the first set of duplicate key nodes and is linked to a first set of field nodes representing a first set of field values associated with the first set of duplicate key nodes.2. The method of claim 1 , further comprising:selecting a second set of duplicate key nodes from within the at least one set; andinserting, in place of the second set, a second guard node, wherein the second guard node includes a second key value identical to the second set of duplicate key nodes and is linked to a second set of field nodes representing a second set of field values associated with the second set of duplicate key nodes.3. The method of claim 2 , wherein the first and second guard nodes include a prefix claim 2 , a key value claim 2 , a field pointer claim 2 , a previous pointer claim 2 , a next pointer claim 2 , and a set of plurality information.4. The ...

IDENTIFICATION OF DATA IN DISTRIBUTED ENVIRONMENTS

Systems and methods include requesting, from a first application system, of a first one or more combinations of search parameters for identifying a data subject identifier of the first application system, transmission of a first query to the first application system including values of search parameters of a first one of the first one or more combinations of search parameters, the values associated with a first data subject, reception of a first data subject identifier of the first application system in response to the first query, transmission of a second query to the first application system including the first data subject identifier, and reception of data of the first application system associated with the first data subject identifier in response to the second query. 1. A system comprising:a memory storing processor-executable process steps; request, from a first application system, a first one or more combinations of search parameters for identifying a data subject identifier of the first application system;', 'transmit a first query to the first application system including values of search parameters of a first one of the first one or more combinations of search parameters, the values associated with a first data subject;', 'receive a first data subject identifier of the first application system in response to the first query;', 'transmit a second query to the first application system including the first data subject identifier; and', 'receive data of the first application system associated with the first data subject identifier in response to the second query., 'a processing unit to execute the processor-executable program code to cause the system to2. A system according to claim 1 , wherein the data is personal data of the first data subject.3. A system according to claim 2 , the processing unit to execute the processor-executable program code to cause the system to:request, from a second application system, a second one or more combinations of search ...

DATA PROFILING AND MONITORING

A data monitoring and evaluation system may receive a query associated with a data record from a user. The system obtains target data including a plurality of data presentations associated with the data record. The system identifies a plurality of attributes associated with the data record and maps the same with each of the plurality of data presentations for identifying a data presentation modification. The system may evaluate the data presentation modification to identify a principal data presentation. The system may determine the conformity of the principal data presentation a rule to create a principal data record. The system may determine the conformity of the principal data record to a record acceptance parameter. The system may generate a data modeling result comprising the principal data record conforming to the record acceptance parameter. 1. A system comprising:a processor;{'claim-text': ['receive a query from a user, the query indicating a data modeling requirement associated with a data record;', 'obtain target data from a data source associated with the data modeling requirement, the target data including a plurality of data presentations associated with the data record;', 'identify a plurality of attributes associated with the data record, each of the plurality of attributes including a measurable parameter associated with the data record, the measurable parameter being used to compare the plurality of data presentations associated with the data record;', 'map each of the plurality of attributes with each of the plurality of data presentations for identifying a data presentation modification associated with each of the plurality of data presentations, the data presentation modification indicative of a change in the corresponding data presentation compared to the data record; and', 'analyze the data presentation modification associated with each of the plurality of data presentations to identify a principal data presentation associated with the data ...

CREATING INDEX IN BLOCKCHAIN-TYPE LEDGER

A method and an apparatus for creating an index in a blockchain-type ledger, and a device are disclosed. According to one implementation, a method may include obtaining, by a centralized database server, a data record, wherein the data record is stored in a blockchain-type ledger, and wherein the data record comprises a service attribute and a sequence number; determining location information of the data record in the blockchain-type ledger, wherein the location information comprises a block height of a data block comprising the data record, and an offset of the data record in the data block; establishing a mapping relationship between the service attribute, the location information, and the sequence number; and based on the sequence number, writing the mapping relationship to an index. 1. A computer-implemented method comprising:obtaining, by a centralized database server, a data record, wherein the data record is stored in a blockchain-type ledger, and wherein the data record comprises a service attribute and a sequence number;determining location information of the data record in the blockchain-type ledger, wherein the location information comprises a block height of a data block comprising the data record, and an offset of the data record in the data block;establishing a mapping relationship between the service attribute, the location information, and the sequence number; andbased on the sequence number, writing the mapping relationship to an index.3. The computer-implemented method of claim 1 , wherein writing the mapping relationship to the index comprises:creating an index record using the service attribute as a primary key in an index table when the primary key in the index does not comprise the service attribute; orwriting the location information and the sequence number to an index record comprising the service attribute when the primary key in the index comprises the service attribute.4. The computer-implemented method of claim 1 , further comprising: ...

Object Indexing

A low-latency database analysis system using an object index may include obtaining data expressing a usage intent, and, in response to a determination that the data expressing the usage intent includes object search request data including a user identifier and zero or more object search terms, obtaining, from an object-index responsive to the object search request data, object indexing data for an object, obtaining object detail data for the object, obtaining an object visualization capture for the object, and outputting object search response data including the object visualization capture and at least a portion of the object detail data for presentation to a user. 1. A method comprising:obtaining data expressing a usage intent; and obtaining, from an object-index responsive to the object search request data, object indexing data for an object;', 'obtaining object detail data for the object;', 'obtaining an object visualization capture for the object; and', 'outputting object search response data including the object visualization capture and at least a portion of the object detail data for presentation to a user., 'in response to a determination that the data expressing the usage intent includes object search request data including a user identifier and zero or more object search terms2. The method of claim 1 , wherein obtaining the data expressing the usage intent includes:obtaining the data expressing the usage intent by a system access interface unit in response to user input; andobtaining, by a semantic interface unit, the data expressing the usage intent from the system access interface unit.3. The method of claim 2 , wherein obtaining the object indexing data includes:generating, by the semantic interface unit, an object search request in response to receiving the data expressing the usage intent, the object search request including the user identifier and the zero or more object search terms; andtransmitting, by the semantic interface unit, the object ...

CONTROLLING GENERATION OF MULTI-INPUT SEARCH RESULTS

A method of controlling generation of search results based on a plurality of search inputs includes, at a server: receiving an interim query containing a subset of interim search inputs; generating, based on the subset of interim search inputs: a subset of predicted search inputs; and a confidence level associated with the subset of predicted search inputs; when the confidence level exceeds a threshold, initiating a search operation to generate predicted search results based on a set of initial inputs including (i) the subset of interim search inputs and (ii) the subset of predicted search inputs; when the confidence level does not exceed the threshold, awaiting an additional query without initiating the search operation; and transmitting a search response based on at least one of the interim query and the additional query. 1. A method comprising:receiving, at a server, an interim query containing a subset of interim search inputs;generating, at the server, a subset of predicted search inputs and a confidence level associated with the subset of predicted search inputs based on the subset of interim search inputs;when the confidence level exceeds a threshold, initiating a search operation to generate predicted search results based on a set of initial inputs including the subset of interim search inputs and the subset of predicted search inputs;when the confidence level does not exceed the threshold, awaiting an additional query without initiating the search operation; andtransmitting, from the server to a client device, a search response based the interim query or the additional query.2. The method of claim 1 , wherein transmitting the search response comprises:responsive to generation of the predicted search results, transmitting the predicted search results to the client device for display at the client device following receipt of a set of final inputs matching the initial set of inputs at the client device.3. The method of claim 1 , wherein transmitting the search ...

SYSTEM AND METHOD FOR MATCHING OF DATABASE RECORDS BASED ON SIMILARITIES TO SEARCH QUERIES

A system and method for the matching of database records based on the similarity between fields in the database records and fields in the search queries is provided. A set of database records may be received from a search engine for further refinement of the search results. The database records may be assigned matching strength points, based on comparisons of fields in the search query and fields in the database records. The records that do not meet predetermined qualifying criteria, based on the matching strength points, may be rejected. The remaining records may be merged together, based on the similarity between fields of the remaining records. 1. A method for merging a plurality of database records based on a search query , the plurality of database records comprising data associated with a plurality of consumers , using a processor , the method comprising:determining a degree of similarity between a search field of the search query and a database field of each of the plurality of database records, wherein the search field is for identifying a subject consumer of the plurality of consumers;assigning a similarity score associated with each of the plurality of database records, based on the degree of similarity, using the processor;ordering the plurality of database records to produce an ordered set of the plurality of database records, based on the similarity score associated with each of the plurality of database records, using the processor;comparing a base record of the ordered set with remaining records of the ordered set using the processor, the base record having the similarity score that is highest;merging the base record and one of the remaining records of the ordered set to produce a merged record, based on comparing the base record of the ordered set with the remaining records of the ordered set, using the processor; andtransmitting an ordered subset of the ordered set from the processor, the ordered subset comprising one or more of the base record, the ...

TECHNIQUES FOR DETERMINING AND PRESENTING DATASET JOIN CANDIDATES

Examples are described herein that relate to determining a level of relatedness between datasets. An approximation can be made of whether an entry in a first dataset appears in a same row as an entry in a second dataset. The approximation can be made by grouping entries in the second dataset together and determining an occurrence that an entry occurs in a same row as any of the entries in a grouping of entries. A test of independence between datasets can be made based at least on the occurrence values. Datasets can be ranked according to level of independence and presented to a user as candidates to join with a dataset. Occurrence values or rankings can be precomputed and available for use so that join candidates can be presented with a little amount of perceived delay to a user. A user interface can present join candidates for a dataset and allow the user the select datasets for joining. Joining of first and second datasets can supplement entries in both of the datasets and create a third dataset. 1. A computer-implemented method comprising:accessing, using one or more computer processors, a first dataset from a memory device, the first dataset comprising at least one column identifier and associated entries; determining, using one or more computer processors, a join key column identifier of the first dataset corresponding to a column identifier of the accessed dataset;', 'determining, using one or more computer processors, a level of independence between the first dataset and the accessed dataset based at least, in part, on (i) an occurrence of a combination of an entry from the first dataset with multiple entries associated with the join key column identifier and (ii) an occurrence of a combination of an entry from the accessed dataset with multiple entries associated with the column identifier of the accessed dataset corresponding to the join key column identifier; and, 'accessing, using one or more computer processors, a dataset other than the first dataset, ...

Sankey diagram graphical user interface customization

A system, method, and computer program product for selecting, processing, and visually depicting information in real time using in-memory technology and user-customizable Sankey diagrams in a graphical user interface. Embodiments receive data describing contact interactions with a business establishment, select interactions occurring frequently during a given time span that led to selected target events, and aggregate similar interaction sequences into paths displayed with widths denoting relative flow quantities. Embodiments modify the depicted information according to user customization of the Sankey diagram. Coherent coordination of visual depiction by context, associated algorithms and models, data sources, event types, and various graphical indicia helps provide an intuitive exploratory situational overview and enables user-driven detailed investigations of complex data via manipulations of the Sankey diagrams. Business assessments and properly directed business actions may improve marketing campaign and customer service effectiveness and increase return on investment without requiring extensive user training or database expertise.

ADVANCE INCIDENT SCORING

Techniques and systems to provide a more intuitive user overview of events data by mapping unbounded incident scores to a fixed range and aggregating incident scores by different schemes. The system may detect possible malicious incidents associated with events processing on a host device. The events data may be gathered from events detected on the host device. The incident scores for incidents may be determined from the events data. The incident scores may be mapped to bins of a fixed range to highlight the significance of the incident scores. For instance, a first score mapped to a first bin may be insignificant while a second score mapped to a last bin may require urgent review. The incident scores may also be aggregated at different levels (e.g., host device, organization, industry, global, etc.) and at different time intervals to provide insights to the data. 1. A system comprising:one or more processors; andprogramming instructions configured to be executed by the one or more processors to perform operations comprising:receiving, from one or more host devices, data associated with events detected at the one or more host devices, wherein the events are produced by at least one process or at least one thread;determining a plurality of the events from the data for a time interval;identifying at least one malicious event within the plurality of the events based at least in part on the data indicating malicious activity;determining an incident score for an incident including the at least one malicious event, the incident score being based at least in part on the at least one malicious event; anddetermining, based at least in part on incident scores, an aggregate score in accordance to an aggregation scheme.2. The system of claim 1 , wherein the operations further include:outputting a visualization in a user interface that represents a change in the aggregate score over a time interval.3. The system of claim 1 , wherein the operations further include:determining the ...

ALTERATION OF A SOURCE DATA VISUALIZATION BASED ON USER INPUT

A method may include displaying, via a display screen, a visualization of data within a user interface (UI). The data may include multiple layers of information. The method may include receiving, via the UI, a first user input effective to select portions of the data to be included in the visualization of the data displayed within the UI. The method may include receiving, via the UI, a second user input effective to select one or more subsets of the layers of information to be included in the visualization displayed within the UI. The method may include altering the visualization of the data within the UI based on the first user input and according to the second user input. The visualization of the data may be altered by hiding one or more subsets of the layers of information that are not to be included in the visualization displayed within the UI. 1. A method to alter how source data is displayed within a user interface , the method comprising:obtaining source data that is representative of a cloud infrastructure that performs cloud computing activities that are associated with a user of the cloud infrastructure, the source data organized into a plurality of layers of information that each describe a different categorizable aspect of the cloud infrastructure;displaying, via a display screen, a visualization of the source data within a user interface, the visualization including a top-level structure view representative of the cloud infrastructure as indicated by the source data;receiving, via the user interface, a first user input effective to select portions of the source data to be included in the visualization of the source data displayed within the user interface, the portions to be included relating to one or more aspects of the cloud infrastructure and corresponding to at least two layers of the plurality of layers of information, wherein the plurality of layers includes at least one layer disposed between the at least two layers and wherein the first user ...

Shared hierarchical data design model for transferring data within distributed systems

Various techniques described herein relate to using a shared hierarchical data design model for creating and transferring data within distributed systems. Components within a distributed system may access a shared hierarchical data design model when designing and creating software components, data structures, or application programming interfaces (APIs) through which data is transferred. Additional techniques include verifying and enforcing that the components of the distributed system conform with the shared hierarchical data design model, including using design/development environments and element-by-element analyses of the data structures transferred between components of the distributed system.

PROJECTIONS FOR BIG DATABASE SYSTEMS

A database system comprised of a decoupled compute layer and storage layer is implemented to store, build, and maintain a canonical dataset, a temporary buffer, and projection datasets. The canonical dataset is a set of batch updated data. The data is appended in chunks to the canonical dataset such that the canonical dataset becomes a historical dataset over time. The buffer is a write ahead log that contains the most recent chunks of data and provides atomicity and durability for the database system. The projection datasets are indexes of the canonical dataset and/or the buffer that may have single or multiple column sort-orders and/or particular data formats. The writes to the canonical dataset, projection datasets, and buffer may be asynchronous and therefore the database system is advantageously less resource constrained. 1. A system comprising:{'claim-text': ['program instructions;', 'a canonical dataset;', 'at least a first projection dataset; and', 'a buffer; and'], '#text': 'one or more computer readable storage mediums configured to store:'}{'claim-text': ['receive a first data chunk comprising an edit to the canonical dataset;', 'temporarily store the first data chunk in the buffer;', {'claim-text': ['update the canonical dataset based on the first data chunk; and', 'update the first projection dataset based on at least a part of the first data chunk; and'], '#text': 'asynchronously:'}, 'flush the first data chunk from the buffer.'], '#text': 'one or more processors configured to execute the program instructions to cause the system to:'}2. The system of claim 1 , wherein the first projection dataset comprises a first sorted subset of data of the canonical dataset.3. The system of claim 2 , wherein the one or more computer readable storage mediums are further configured to store:a second projection dataset comprising a second sorted subset of data of the canonical dataset, wherein the second sorted subset of data is different from the first sorted subset ...

SYSTEM MODELS THAT SUPPORT THE TRACEABILITY OF ACTIVITIES

Systems and processes for recording operational activities in a traceable manner are provided herein. Event data for events associated with operational activities may be received at a system, the event data including, for each of the events, a time parameter and a subject of the respective event. The events may be grouped and processed according to the time parameter or the subject of each of the events, and one or more database tables of a model may be populated and/or updated with event entries based on the event data. The model may include a first part corresponding to processing of the operational activities, and a second part corresponding to results of the processing of the operational activities, where event entries stored in the first and second parts of the model are linked by respective process dates for the event entries. The tables may be output for presentation to a user. 1. A computer-implemented method comprising:receiving input of event data for events associated with operational activities, the event data including, for each of the events, a time parameter and a subject of the respective event;grouping and processing the events according to the time parameter or the subject of each of the events;populating database tables in each of a first part and a second part of a model with event entries based on the event data, the first part of the model corresponding to processing of the operational activities associated with each of the event entries and the second part of the model corresponding to results of the processing of the operational activities associated with each of the event entries, wherein event entries stored in the first part and the second part of the model are linked by respective process dates for the event entries; andoutputting one or more of the database tables of the model for presentation to a user.2. The computer-implemented method of claim 1 , wherein the time parameter is an effective date of the respective event claim 1 , and ...

SYSTEMS, METHODS AND USER INTERFACES IN A PATENT MANAGEMENT SYSTEM

A user-interface system is provided for a patent management system having access to at least one patent matter database and at least one reference database. The user interface system comprises a first user interface element allowing selection of data stored in the at least one patent matter database, a second user interface element allowing selection of data stored in the at least one reference database, a third user interface element for linking at least one reference stored in the at least one reference database with at least one patent in the patent matter database, a fourth user interface element allowing the selection for storage of further references into the at least one reference database, and a fifth user interface element allowing analysis of at least one of the linked references. 1. (canceled)2. A system to display an interactive user interface , the system comprising:at least one processor; and scrape patent data from a transaction log of at least one patent matter database, the patent data including event dates for a patent matter;', 'calculate a response date for the patent matter using the event dates;', 'generate a docket entry in a docket for the patent matter in a patent management system that includes the event dates and the calculated response date;', 'download at least one document associated with the patent matter from the at least one patent matter database;', 'associating the at least one document with the docket entry;', 'identifying at least one reference document cited in the at least one document;', 'downloading the at least one reference document from at least one reference database;', 'storing the at least one reference document in the patent management system;', 'associate the at least one reference document with the patent matter in reference storage of the docket for the patent matter; and', 'generate, for output to a display device, a docket user interface that includes a display of the docket that includes the docket entry and a ...

METHOD AND SYSTEM FOR PROCESSING WRITE QUERIES IN AN APPLICATION PROGRAMMING INTERFACE BASED ON DECLARATIVE SCHEMAS FOR INDIVIDUAL SERVICES

Certain aspects of the present disclosure provide techniques for processing north-south queries in an application programming interface (API) generated for a plurality of associated services. The method generally includes receiving a request to invoke a function exposed by a first service in the API, wherein the function commits data to one or more data repositories. A data record is generated by the first service based on the received request based on a data object definition and a service definition for the first service. A message is generated including the generated data record and an indication that the message is to be consumed by a data lake processing system to commit data to a data lake. The message is published on a message bus for consumption by the data lake processing system. 1. A method for processing requests in an application programming interface (API) , comprising:receiving a request to invoke a function exposed by a first service in the API, wherein the function commits data to one or more data repositories;generating, by the first service, a data record based on the received request based on a data object definition and a service definition for the first service;generating a message including the generated data record and an indication that the message is to be consumed by a data lake processing system to commit data to a data lake; andpublishing the message on a message bus for consumption by the data lake processing system.2. The method of claim 1 , wherein the message includes versioning information identifying a version of the data object definition used in generating the data record.3. The method of claim 1 , further comprising: committing the data record to a local data store associated with the first service such that future requests for the data record are retrieved from the local data store associated with the first service and not from the data lake and data stored in the data lake is used outside of an operating environment in which ...

DETECTING CONTENT IN A REAL-TIME VIDEO STREAM RECORDED BY A DETECTION UNIT

Described herein are systems and methods that search videos and other media content to identify items, objects, faces, or other entities within the media content. Detectors identify objects within media content by, for instance, detecting a predetermined set of visual features corresponding to the objects. Detectors configured to identify an object can be trained using a machine learned model (e.g., a convolutional neural network) as applied to a set of example media content items that include the object. The systems comprise an integrated detection unit configured to record media content, identify preferred content, and communicate the identifications of preferred content for storage in a computationally efficient manner. 1. A detection unit comprising:a camera configured to record live media content, the camera storing a detector configured to identify preferred content in frames of the recorded live media content; and{'claim-text': ['receiving, from a user, a selection of a first subset of frames of the live media content determined to include the preferred content by the detector and a selection of a second subset of frames of the live media content determined not to include the preferred content by the detector;', 'responsive to receiving the selection of the first subset of frames and the selection of the second subset of frames from the user, providing the first subset of the frames to a cloud server; and', 'storing the second subset of frames at the detection unit;', 'wherein the detection unit stores a plurality of detectors each configured to output a confidence score indicating a likelihood that unique preferred content is present within a frame of media content and trained based on a first set of positive images of the unique preferred content and a second set of negative images that excludes the unique preferred content.'], '#text': 'a non-transitory computer-readable storage medium storing executable computer instructions that, when executed by a ...

System and method for constructing information structures for knowledge information system management and for searching information structures for information

The present invention relates to a system and method for constructing information structures for knowledge information system management and for searching the information structures for information which enables searching for desired information by constructing associations between each piece of information as a visible structure and verifying the association and the order of rank between the pieces of information from the information structure. Information objects are created by receiving data from the user. The created information objects are disposed in a space and associations between the information objects are indicated. Then, the information structure, which is an information cluster, is constructed. The information cluster includes a plurality of information objects which are stereoscopically arrayed within a location space and selectively connected to each other.

Interactive multi-value rotational object

Provided are systems and methods which generate and display an three-dimensional (3D) object representing multiple values. Rotation of the object provides different views of the values enabling easier understanding of the differences. In one example, the method may include receiving a first dataset and a second dataset, identifying a value from the first dataset and a value from the second dataset which are associated with each other, generating a rotational three-dimensional (3D) object comprising a first component having a size representing the value from the first dataset and a second component having a size representing the value from the second dataset value, and outputting the rotational 3D object via a user interface where the rotational 3D object is configured to display different rotational views of the first and second component.

MULTI-BOOK ALLOCATIONS WITH SNAPSHOT VERIFICATION

Mechanisms are provided for specifying, viewing and verifying allocations, including a snapshot look-back function to provide views of previously specified justifications and support for particular allocations. The look-back function can provide visibility as to how specific allocation numbers were generated. Allocations can be viewed at different historical points in time, to provide insight as to when and why a particular allocation was specified. These views can also show calculation parameters and results. A user-defined book can facilitate allocation workflow in such a way that users can easily view allocations both before and after the fact. Users can configure the system to maintain the option of before/after views on a going-forward basis. An allocation journal entry can be displayed, including a link to additional information, such as source, basis, and/or applied dynamic percentage calculations. 1. A computer-implemented method for specifying , viewing , and verifying accounting allocations , comprising:at an input device, receiving user input specifying at least one allocation;at a hardware processor communicatively coupled to the input device, applying the specified at least one allocation to at least one account;at a storage device communicatively coupled to the hardware processor, storing a record representing the application of the specified at least one allocation to the at least one account; andat an output device, displaying output verifying the application of the at least one allocation to the at least one account.2. The method of claim 1 , further comprising:at the input device, receiving user input specifying a justification for the least one allocation;at the storage device, storing a representation of the specified justification;at the output device, providing access to a snapshot look-back function to provide views of previously specified justifications for allocations;at the input device, receiving user input activating the snapshot look- ...

TOP FREQUENCY WORKSHEET FILTERING

Top frequency worksheet filtering including sending a first request comprising a first search term; receiving, in response to the first request, a first plurality of distinct values having a greatest frequency in a data set and responsive to the first search term, wherein the first plurality of distinct values comprises a number of distinct values less than or equal to a size threshold; presenting the first plurality of distinct values; receiving a selection of a first value from the first plurality of distinct values; and filtering, based on the selected first value, a worksheet comprising a presentation of the data set. 1. A method of top frequency worksheet filtering , the method comprising:sending a first request comprising a first search term;receiving, in response to the first request, a first plurality of distinct values having a greatest frequency in a data set and responsive to the first search term, wherein the first plurality of distinct values comprises a number of distinct values less than or equal to a size threshold;presenting the first plurality of distinct values;receiving a selection of a first value from the first plurality of distinct values; andfiltering, based on the selected first value, a worksheet comprising a presentation of the data set.2. The method of claim 1 , wherein filtering claim 1 , based on the selected value claim 1 , the worksheet comprises:causing a database query based on the selected first value to be issued to a database storing the data set; andreceiving a subset of the data set responsive to the database query.3. The method of claim 1 , further comprising:receiving a second search term;determining that a response to the second search term is stored in memory;loading the response to the second search term from memory; andpresenting a second plurality of distinct values included in the response to the second search term.4. The method of claim 1 , further comprising:receiving a second search term;determining that a response ...

MEANING INFERENCE SYSTEM, METHOD, AND PROGRAM

A column meaning candidate selection means selects a candidate for meaning of a column whose meaning is to be inferred. A column similarity computation means computes, for each candidate for meaning selected by the column meaning candidate selection means a score indicating a similarity between the selected candidate for meaning and meaning of each column other than the column whose meaning is to be inferred contained in a table. A column meaning identification means identifies meaning of the column whose meaning is to be inferred from the candidates for meaning of the column with use of the score computed by the column similarity computation means 1. A meaning inference system inferring meaning of a column contained in a table , comprising:a column meaning candidate selection unit that selects at least one candidate for meaning of a column whose meaning is to be inferred;a column similarity computation unit that computes, for each candidate for meaning selected by the column meaning candidate selection unit, a score indicating a similarity between the selected candidate for meaning and meaning of each column other than the column whose meaning is to be inferred contained in a table; anda column meaning identification unit that identifies meaning of the column whose meaning is to be inferred from the candidates for meaning of the column with use of the score computed by the column similarity computation unit.2. The meaning inference system according to claim 1 , comprising:a meaning initial value allocation unit that allocates an initial value for meaning of each column in the table; anda column selection unit that selects the column whose meaning is to be inferred.3. The meaning inference system according to claim 2 , wherein the meaning initial value allocation unit allocates an initial value for meaning of the table claim 2 , the meaning inference system comprising:a first column table similarity computation unit that computes, for each candidate for meaning ...

Optimal analytic workflow

Embodiments of the present invention disclose a computer system for optimizing data analysis. A set of analytics are received and a plurality of subsets of the set of analytics is generated. An optimization goal(s) is defined. The plurality of subsets of analytics are applied to a set of data. The output of applied analytics are recorded on a data storage device by the computer. Performance values of the computer applying the plurality of subsets of analytics are recorded and displayed. An optimal subset of the plurality of subsets of analytics is calculated, using recorded performance values and outputs of the applied plurality of subsets of analytics, being based on the optimization goal. A set of applied analytics are displayed, where the set of applied analytics includes a number of subsets of analytics of the plurality of analytics that meet the criteria of the optimal subset.

Generating an outside-in hierarchical tree visualization

A data visualization tool (“tool”) configured to generate a visualization for tree data. The tool can calculate a number of hierarchical levels of the tree data. The tool can further subdivide a presentation area for the data visualization into a number of concentric parts. The concentric parts are equivalent to the number of hierarchical levels. Each of the concentric parts corresponds to one of the hierarchical levels. Further, the tool can graphically generate the data visualization for presentation via an electronic display. A first of the concentric parts that corresponds to a highest of the hierarchal levels is an outermost one of the concentric parts in the presentation area. Each successive concentric part inward corresponds to a next lower hierarchical level.

Pattern-Enabled Data Entry and Search

In the proposed approach cluster elements (bins) are made available as a keypad in the form of a cluster map. The user directly selects the cluster element (bin) with a mouse, touch or actual keypad. For each of the associated attributes, a cluster map is available that orders the attributes from high-to-low by color or shade intensity. When a cluster element is selected in one cluster map, that same cluster element is also highlighted in other cluster maps. For each of the cluster maps, a value axis is available which shows the value of the parameter for the selected cluster element. In the case of numerical values, the high/low attribute pattern across the cluster maps is easily visible. The selected data objects in the cluster map are displayed in a separate widget.

Tree-information-providing device and program product for tree information provision

A controller is configured to accept a user input from an input interface, access a memory storing tree information that includes pieces of information about a plurality of hierarchized elements, and generate a screen command related to a display screen of a display. The controller causes elements included in the tree information to be displayed on the display. When an element located in the center in the width direction of the display receives an expanding operation, child elements are expanded one layer below the element. When a parent element of child elements goes beyond the center in the width direction, in response to the width direction slide operation, the child elements subordinate to the element are hidden on the display.

DATA PROCESSING METHOD AND SYSTEM OF A DISTRIBUTED GRAPH DATABASE

The present application relates to a data processing method and system of a distributed graph database. The present application solves the problem of how to improve the efficiency of adding, deleting, modifying and checking data in a graph database, realizes balanced storage and concurrent computing of distributed index, reduces network overhead caused by data operation, and improves the efficiency of data operation effectively. 1. A data processing method of a distributed graph database , comprising:obtaining a write request of a Vertex or an Edge;generating a Vertex Index of the Vertex according to a TagID of the Vertex, wherein, the Vertex comprises a VertexID and the TagID; writing the Vertex and the Vertex Index into a same Graph Partition by performing a hash operation on the VertexID and storing the Vertex and the Vertex Index in the Graph Partition;generating an Edge Index of the Edge according to an EdgeType of the Edge, wherein, the Edge comprises a Source VertexID and the EdgeType; writing the Edge and the Edge Index into same Graph Partition by performing a hash operation on the Source VertexID and storing the Edge and the Edge Index in the Graph Partition;obtaining a data update request of the Vertex or the Edge, wherein, the data update request comprises a data record to be updated and data update information;detecting whether the data record is valid;returning update failure information if the data record is invalid; andupdating the Vertex or the Edge according to the data update information if the data record is valid.2. The method according to claim 1 , wherein claim 1 , the step of generating a Vertex Index of the Vertex according to a TagID of the Vertex and the step of generating an Edge Index of the Edge according to an EdgeType of the Edge comprises:creating a Vertex IndexID according to the TagID on the basis of a Tag Schema, wherein, the Vertex Index comprises the Vertex IndexID, a Graph PartitionID, a Data Type and a Property; andcreating an ...

COLLECTION, STRUCTURING, AND STORAGE OF PERSONAL DATA OF A USER OF AN ONLINE SERVICE

Computer architecture, computer-implemented instructions, input-processing-output (IPO), graphical user interfaces (GUIs), databases, and file management including a method, system and non-transitory computer-readable storage medium (CRM) storing at least one program for collecting, structuring, and storing personal data of a user of an online service. The method, system and CRM includes: collecting the personal data of the user from the online service; structuring the collected personal data; storing the structured collected personal data in a structured unitary data structure, wherein the structured unitary data structure is configured to store at least one of the following: customer data, search engine data, social media data, contract customer data, enterprise customer data, and contract data; querying the structured unitary data structure; and transmitting a signal based on the query. Related devices, apparatuses, systems, techniques, articles and non-transitory computer-readable storage media are also described. 1. A computer-implemented method for collecting , structuring , and storing personal data of a user of an online service , the method comprising:collecting, by at least one processor, a personal data of a user from an online service;structuring, by the at least one processor, the collected personal data;storing, by the at least one processor, the structured collected personal data in a structured unitary data structure in at least one memory location, wherein the structured unitary data structure is configured to store at least one of the following: a customer data, a search engine data, a social media data, a contract customer data, an enterprise customer data, and a contract data;querying, by the at least one processor, the structured unitary data structure; andtransmitting, by the at least one processor, a response to the query.2. The method according to claim 1 , wherein the structured unitary data structure is configured to interrelate at least ...

METHOD AND SYSTEM FOR RETRIEVING DATA AND DISPLAYING CONTENT DENSITY OF A DATA STORAGE

The present invention relates to a method and system for retrieving data and displaying content density of a data storage. The data retrieval system of the present invention is essentially comprised of a querying interface, a data storage, a data retrieval component, a retrieved data processing component, and a displaying unit. The data retrieval system further comprises of a data querying and organizing component. The data querying and organizing component is essentially comprised of a first querying member, a second querying member, and an assigning member. The first querying member is essentially adapted to execute a first query to retrieve data from the data storage based on at least a portion of content items in query and the second querying member is adapted to execute a second query to retrieve distinct data from the data storage based on at least a portion of distinct content items in query. The assigning member is adapted to compare records from result of the first query and records from result of the second query, to acquire number of occurrences of each of the records of the second query result into all of the records of the first query result; to assign a frequency weight to each of the records of the second query result according to the acquired frequency of occurrence, and to assign a predefined formatting style to each of the records of the second query result according to the frequency weight of the corresponding record of the second query result. The records of the second query result are displayed in a representation through the displaying unit according to the assigned formatting style. As a result, the content density of the corresponding record of the second query result in the data storage can be portrayed. The method of the present invention generally comprises the steps of querying the data storage, retrieving data from the data storage, processing the retrieved data, and displaying the retrieved data.

METHOD, APPARATUS, DEVICE AND STORAGE MEDIUM FOR GENERATING AND PROCESSING A DISTRIBUTED GRAPH DATABASE

A UUID generation method for a distributed graph database, and a data processing method and apparatus for the distributed graph database. The UUID generation method for the distributed graph database comprises the following steps: receiving a UUID generation request, wherein the UUID generation request comprises an input field and a partition number of the input field; calling a Murmur hash function to generate an initial UUID according to the input field and the partition number of the input field; querying whether a duplicate key value exists between the initial UUID and a historical UUID to obtain a query result; and obtaining a target UUID for storage according to the query result and the initial UUID.

MULTI-CHANNEL SEARCH

A method for a multi-channel search includes receiving a specific post selection submitted in a first channel and query text associated with the specific post in the first channel, where the query text includes one or more words for performing a query evaluation. The method receives a query location which includes a plurality of channels for performing the query evaluation. Responsive to extracting one or more ranking factors from the specific post selection, the method performs the query evaluation at the query location to collect a plurality of potential matching posts based on the one or more ranking factors. The method reorders the plurality of potential matches according to a plurality of determined scores for the plurality of potential matches. The method displays two-dimensional search results based on a timeline and channel relevancy, where the plurality of channels is ordered according to channel relevancy compared to the first channel.