Anomaly detection in performance management
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United States of America Patent
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Mar 5, 2019
Grant Date -
Jan 25, 2018
app pub date -
Jul 20, 2016
filing date -
Jul 20, 2016
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Abstract
Methods and systems for detecting anomalous behavior include performing a principal component analysis on a plurality of key performance indicators (KPIs) to determine a set of principal axes. The KPIs are clustered in a space defined by the set of principal axes. Local and structural anomalies are determined in the clustered KPIs. The structural and local anomalies are classified based on historical information. A management action is performed based on the classified structural and local anomalies.
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