Question & Answer
Question
The Outlier Detection algorithm uses real data that is being collected normally and audited by Policy rules - It geneates an anomalies score based on past data and identifies specific dasy which have irregular activity. It studies data continously over a preset training period and builds models against previous activities or similar group users. These models show what is normal and what is not.
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Modified date:
16 June 2018
UID
swg21971432