Data clustering

The present disclosure describes methods and systems by which memory-efficient clustered data structures of related data entities (or "clusters") may be generated and prioritized. Generation of clusters may begin by automatic generation of an initial, seed data entity of interest. Clusters...

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Bibliographische Detailangaben
Hauptverfasser:	MENON, PARVATHY, KROSS, MICHAEL, SPRAGUE, MATTHEW, BOROCHOFF, ADAM, HARRIS, MICHAEL
Format:	Patent
Sprache:	eng ; pol
Schlagworte:	CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:	The present disclosure describes methods and systems by which memory-efficient clustered data structures of related data entities (or "clusters") may be generated and prioritized. Generation of clusters may begin by automatic generation of an initial, seed data entity of interest. Clusters of related data entities are generated based on the seed and according to cluster generation strategies (or cluster strategies). Seeds and related data entities may be accessed from various databases and data sources. The data analysis system may bring together data from multiple data sources in order to build clusters. Data entity clusters are prioritized according to a given scoring strategy.