MACHING LEARNING USING TIME SERIES DATA

MACHING LEARNING USING TIME SERIES DATA

A method for capturing user workflows can include tracking user queries for a plurality of users, correlating the user queries between two or more users of the plurality of users, determining that the user queries of the two or more users of the plurality of users are correlated, and classifying the...

Ausführliche Beschreibung

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Bibliographische Detailangaben
1. Verfasser: THIRUVENKATANATHAN, Pradyumna
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Beschreibung
Zusammenfassung:A method for capturing user workflows can include tracking user queries for a plurality of users, correlating the user queries between two or more users of the plurality of users, determining that the user queries of the two or more users of the plurality of users are correlated, and classifying the user queries of the at least two users as a workflow neighbor. The workflow neighbor defines a set of time series data or features.