FRaC: a feature-modeling approach for semi-supervised and unsupervised anomaly detection
Data Min. Knowl. Discov., pp. 109-133, 2012.
Anomaly detection involves identifying rare data instances (anomalies) that come from a different class or distribution than the majority (which are simply called "normal" instances). Given a training set of only normal data, the semi-supervised anomaly detection task is to identify anomalies in the future. Good solutions to this task hav...More
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