Data anomaly detection

Data anomaly detection

Systems and methods for data anomaly detection include recommending one or more algorithms from a set of algorithms to process received time series data, wherein the one or more algorithms are recommended based at least in part on a type of workload for processing the received time series data. Assi...

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Bibliographische Detailangaben
Hauptverfasser: Wydrowski, Richard, Tran, Khoa, Aghajanyan, Suren, Arrabolu, Sai Sankalp, Kanazawa, Keiji, Batoukov, Roman, Wang, Zeqiang, Potthast, Thomas W, Gudalewicz, Lech, Lofton, Benjamin J, Zhang, Jian
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Beschreibung
Zusammenfassung:Systems and methods for data anomaly detection include recommending one or more algorithms from a set of algorithms to process received time series data, wherein the one or more algorithms are recommended based at least in part on a type of workload for processing the received time series data. Assisted parameter tuning is provided for a detected anomaly alert and calibration, and the received time series data is processed based on a user selected algorithm that is parameter tuned.