Interpreting and Unifying Outlier Scores

@inproceedings{Kriegel2011InterpretingAU,
  title={Interpreting and Unifying Outlier Scores},
  author={Hans-Peter Kriegel and Peer Kr{\"o}ger and Erich Schubert and Arthur Zimek},
  booktitle={SDM},
  year={2011}
}
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… CONTINUE READING
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