ATD: Anomalous Topic Discovery in High Dimensional Discrete Data

20 Dec 2015Hossein SoleimaniDavid J. Miller

We propose an algorithm for detecting patterns exhibited by anomalous clusters in high dimensional discrete data. Unlike most anomaly detection (AD) methods, which detect individual anomalies, our proposed method detects groups (clusters) of anomalies; i.e. sets of points which collectively exhibit abnormal patterns... (read more)

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