Expected Similarity Estimation for Large-Scale Batch and Streaming Anomaly Detection

25 Jan 2016Markus SchneiderWolfgang ErtelFabio Ramos

We present a novel algorithm for anomaly detection on very large datasets and data streams. The method, named EXPected Similarity Estimation (EXPoSE), is kernel-based and able to efficiently compute the similarity between new data points and the distribution of regular data... (read more)

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