ADAPTIVELY GENERATING OUTLIER SCORES USING HISTOGRAMS

An example system includes a processor to receive a stream of records. The processor can generate an unbiased outlier score for each sample in the stream of records via a trained histogram-based outlier score model. The unbiased outlier score is unbiased for samples including dependent features usin...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: ALLOUCHE, Yair, BILLER, Ofer Haim, FARCHI, Eitan Daniel, COHEN, Aviad, ACKERMAN, Samuel Solomon
Format: Patent
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:An example system includes a processor to receive a stream of records. The processor can generate an unbiased outlier score for each sample in the stream of records via a trained histogram-based outlier score model. The unbiased outlier score is unbiased for samples including dependent features using feature grouping. The processor can then detect an anomaly in response to detecting that an associated unbiased outlier score of the sample is higher than a predefined threshold.