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...
Gespeichert in:
Hauptverfasser: | , , , , |
---|---|
Format: | Patent |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
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. |
---|