Recommender system for exploratory data analysis

Systems and methods for enhancing exploratory data analysis using a recommender system are provided. The recommender system receives feedback when a set of raw data is analyzed (e.g., from one or more data analysts exploring a data set). Based on the collected feedback, the recommender system can au...

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Bibliographische Detailangaben
Hauptverfasser:	Gilliam, Antonio, Livingston, Mark A, Russell, Stephen, Guleyupoglu, Suleyman, Decker, Jonathan W
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS 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:	Systems and methods for enhancing exploratory data analysis using a recommender system are provided. The recommender system receives feedback when a set of raw data is analyzed (e.g., from one or more data analysts exploring a data set). Based on the collected feedback, the recommender system can automatically infer the need for certain analytical operations to be performed on a data set. These inferences can be used by the recommender system to infer analytical operations when new data sets are analyzed.