Detecting distance-based outliers in streams of data

  title={Detecting distance-based outliers in streams of data},
  author={Fabrizio Angiulli and Fabio Fassetti},
In this work a method for detecting distance-based outliers in data streams is presented. We deal with the sliding window model, where outlier queries are performed in order to detect anomalies in the current window. Two algorithms are presented. The first one exactly answers outlier queries, but has larger space requirements. The second algorithm is directly derived from the exact one, has limited memory requirements and returns an approximate answer based on accurate estimations with a… CONTINUE READING
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