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Anomaly detection
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Approach in data analysis
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Wikipedia

In data analysis, anomaly detection (also referred to as outlier detection and sometimes as novelty detection) is generally understood to be the identification of rare items, events or observations which deviate significantly from the majority of the data and do not conform to a well defined notion of normal behavior. Such examples may arouse...

Subclass of
Detection
References
Wikidata