Interpreting and Unifying Outlier Scores
作者： Arthur Zimek , Hans-Peter Kriegel , Erich Schubert , Peer Kröger
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摘要: Outlier scores provided by different outlier models differ widely in their meaning, range, and contrast between and, hence, are not easily comparable or interpretable. We propose a unification of various translation the arbitrary “outlier factors” to values range [0, 1] interpretable as describing probability data object being an outlier. As application, we show that this facilitates enhanced ensembles for detection.
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