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2011
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Interpreting and Unifying Outlier Scores

8 years 29 days ago
Interpreting and Unifying Outlier Scores
Outlier scores provided by different outlier models differ widely in their meaning, range, and contrast between different outlier models and, hence, are not easily comparable or interpretable. We propose a unification of outlier scores provided by various outlier models and a translation of the arbitrary “outlier factors” to values in the range [0, 1] interpretable as values describing the probability of a data object of being an outlier. As an application, we show that this unification facilitates enhanced ensembles for outlier detection.
Hans-Peter Kriegel, Peer Kröger, Erich Schube
Added 17 Sep 2011
Updated 17 Sep 2011
Type Journal
Year 2011
Where SDM
Authors Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek
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