Abstract: A visualization system generates for display one or more radial maps that represent data values for a plurality of parameters measured for groups of entities. Each group of rows of the radial map represents a group of entities for whom the parameters are measured and compared against a baseline or control group, while each column represents a measured parameter. If the visualization system determines that an entity has a data value for a measured parameter that deviates from the control group value by more than a threshold amount, the system visually distinguishes the outlier value from the other geometric shapes in the radial map. Additionally, two or more radial maps may be simultaneously displayed on a visual interface based on correlations between data points for groups of entities.

Abstract: 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.

Abstract: A visualization system generates for display one or more radial maps that represent data values for a plurality of parameters measured for groups of entities. Each group of rows of the radial map represents a group of entities for whom the parameters are measured and compared against a baseline or control group, while each column represents a measured parameter. If the visualization system determines that an entity has a data value for a measured parameter that deviates from the control group value by more than a threshold amount, the system visually distinguishes the outlier value from the other geometric shapes in the radial map. Additionally, two or more radial maps may be simultaneously displayed on a visual interface based on correlations between data points for groups of entities.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Provided is a process of refining Boolean queries, the process including: obtaining a query; searching a corpus of documents based on the query; selecting narrowing terms that pertain to respective subsets of the responsive documents; selecting broadening terms related to the query; instructing the user's computing device to present a graphical user interface comprising: graphical representations of the narrowing terms; graphical representations of the broadening terms; and one or more user inputs by which the user refines the query by adding a selected narrowing term or a selected broadening term; obtaining a user selection of a broadening term or a narrowing term; forming a refined query based on the user selection; searching at least part of the corpus based on the refined query to identify refined responsive documents; and instructing the user's computing device to present an updated graphical user interface with information about the refined responsive documents.

Abstract: Provided is a process including: obtaining a clustered graph, the clustered graph having three or more clusters, each cluster having a plurality of nodes of the graph, the nodes being connected in pairs by one or more respective edges; determining visual attributes of cluster icons based on amounts of nodes in clusters corresponding to the respective cluster icons; determining positions of the cluster icons in a graphical visualization of the clustered graph; obtaining, for each cluster, a respective subset of nodes in the respective cluster; determining visual attributes of node icons based on attributes of corresponding nodes in the subsets of nodes, each node icon representing one of the nodes in the respective subset of nodes; determining positions of the node icons in the graphical visualization based on the positions of the corresponding cluster icons of clusters having the nodes corresponding to the respective node icons; and causing the graphical visualization to be displayed.

Abstract: Provided is a process of refining Boolean queries, the process including: obtaining a query; searching a corpus of documents based on the query; selecting narrowing terms that pertain to respective subsets of the responsive documents; selecting broadening terms related to the query; instructing the user's computing device to present a graphical user interface comprising: graphical representations of the narrowing terms; graphical representations of the broadening terms; and one or more user inputs by which the user refines the query by adding a selected narrowing term or a selected broadening term; obtaining a user selection of a broadening term or a narrowing term; forming a refined query based on the user selection; searching at least part of the corpus based on the refined query to identify refined responsive documents; and instructing the user's computing device to present an updated graphical user interface with information about the refined responsive documents.

Abstract: Provided is a process, including: obtaining a clustered graph, wherein each of the nodes has a plurality of respective node attributes other than an identifier of the node; obtaining a designation of a given node attribute from among the plurality of node attributes; identifying a first subset of nodes of the graph as having anomalous values of the given node attribute by comparing values of the given node attribute in the first subset to a distribution of the given node attribute; identifying a second subset of nodes of the graph as having representative values of the given node attribute by comparing values of the given node attribute in the second subset to the distribution of the given node attribute; and sending instructions to a client device to display a representation of the graph.

Abstract: Provided is a process, including: obtaining a graph to be visually represented in a graphical user interface of a client computing device; obtaining a set of text labels each corresponding to a respective collection of the nodes; determining a two dimensional or higher layout of the icons in the visual representation; segmenting the field of view into a plurality of segments; determining which icons are disposed within each of the segments of the field of view; determining positions of the text labels in the visual representation relative to one or more icons representing nodes in the respective collection of nodes based on the segment of the field of view in which the one or more icons representing nodes in the respective collection are disposed; and causing the visual representation to be displayed.

Abstract: Provided is a process of refining Boolean queries, the process including: obtaining a query; searching a corpus of documents based on the query; selecting narrowing terms that pertain to respective subsets of the responsive documents; selecting broadening terms related to the query; instructing the user's computing device to present a graphical user interface comprising: graphical representations of the narrowing terms; graphical representations of the broadening terms; and one or more user inputs by which the user refines the query by adding a selected narrowing term or a selected broadening term; obtaining a user selection of a broadening term or a narrowing term; forming a refined query based on the user selection; searching at least part of the corpus based on the refined query to identify refined responsive documents; and instructing the user's computing device to present an updated graphical user interface with information about the refined responsive documents.

Abstract: A method for automatic volume adjustment performed by a physical computing system includes, with the computing system, determining a virtual proximity between a user and a number of applications running on the computing system, the virtual proximity based in part on a type of one of the number of applications, and with the computing system, automatically adjusting a volume of the number of applications linked with a sound peripheral connecting to the computing system, the volume of each of the number of applications being based on the virtual proximity.

Abstract: A method for automatic volume adjustment performed by a physical computing system includes, with the computing system, determining a virtual proximity between a user and a number of applications running on the computing system, the virtual proximity based in part on a type of one of the number of applications, and with the computing system, automatically adjusting a volume of the number of applications linked with a sound peripheral connecting to the computing system, the volume of each of the number of applications being based on the virtual proximity.

Abstract: Systems and methods for decomposing and decaying data over time by decomposing a type of data item into constituent units of the data item, establishing relationship factors between data items to other data items and between constituent units, creating a shelf-life criterion for the constituent units priority dimensions, calculating or updating a decomposability index for each constituent unit as a function of the priority dimensions while also applying a relationship factor and optionally incrementing for another dimension, and then decaying over time the data items by deleting all constituent units which have decomposability indices exceeding a configured threshold.

Abstract: A method, system, and computer usable program product for automated document governance in a data processing environment are provided in the illustrative embodiments. A set of structured documents is received at an application executing in a computer in the data processing environment. A structure is recognized, parts of which structure are present in the documents in the set. A set of similarities in the documents in the set is summarized according to the recognized structure. A summarized information from the summarizing is presented such that a document governance action can be performed on a subset of the set of documents using the summarized information.

Abstract: Data is decayed over time by a type of data item by identifying constituent units of each data item; creating a shelf-life criterion for the constituent units by assigning dimensions to each data item and to each constituent unit; for each of the data items of the data item type, establishing relationship factors for each data item to other data items, between constituent units within data items, and between data items; periodically calculating or updating a decomposability index for each constituent unit as a function of the priority dimensions and the data life dimensions by moving the index towards a threshold for constituent units which are reproducible; and subsequently, decaying the data by deleting from storage constituent units which have decomposability indices exceeding a configured threshold, thereby reducing the amount of storage occupied by a remaining plurality of data items.

Abstract: Systems and methods for decomposing and decaying data over time by decomposing a type of data item into constituent units of the data item, establishing relationship factors between data items to other data items and between constituent units, creating a shelf-life criterion for the constituent units priority dimensions, calculating or updating a decomposability index for each constituent unit as a function of the priority dimensions while also applying a relationship factor and optionally incrementing for another dimension, and then decaying over time the data items by deleting all constituent units which have decomposability indices exceeding a configured threshold.

Abstract: Systems and methods for decomposing and decaying data over time by decomposing a type of data item into constituent units of the data item, establishing relationship factors between data items to other data items and between constituent units, creating a shelf-life criterion for the constituent units priority dimensions, calculating or updating a decomposability index for each constituent unit as a function of the priority dimensions while also applying a relationship factor and optionally incrementing for another dimension, and then decaying over time the data items by deleting all constituent units which have decomposability indices exceeding a configured threshold.