Clustering based process deviation detection

Clustering based process deviation detection

Systems and methods for data analysis include correlating event data to provide process instances. The process instances are clustered, using a processor, by representing the process instances as strings and determining distances between strings to form a plurality of clusters. One or more metrics a...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Keyser, Paul T, Rozsnyai, Szabolcs, Duftler, Matthew J
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
PHYSICS
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Beschreibung
Zusammenfassung:Systems and methods for data analysis include correlating event data to provide process instances. The process instances are clustered, using a processor, by representing the process instances as strings and determining distances between strings to form a plurality of clusters. One or more metrics are computed on the plurality of clusters to monitor deviation of the event data.