ANOMALY CLASSIFIER

According to some embodiments, a system and method are provided to classify an anomaly. The method comprises receiving, from an anomaly detection system, time-series data that comprises one or more anomalies. The time-series data is grouped into a plurality of groups based on a scale range. For each...

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Bibliographic Details
Main Authors BAPTISTA, Oliver, KAPIL, Ansh, PATIL, Sundeep R
Format Patent
LanguageEnglish
Published 26.07.2018
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:According to some embodiments, a system and method are provided to classify an anomaly. The method comprises receiving, from an anomaly detection system, time-series data that comprises one or more anomalies. The time-series data is grouped into a plurality of groups based on a scale range. For each group of the plurality of groups, statistical features are extracted from the time-series data. The extracted statistical features associated with the plurality of groups are combined and the one or more anomalies are classified based on the combined extracted statistical features.
Bibliography:Application Number: US201715415288