Feature bagging for outlier detection

@inproceedings{Lazarevic2005FeatureBF,
  title={Feature bagging for outlier detection},
  author={A. Lazarevic and V. Kumar},
  booktitle={KDD '05},
  year={2005}
}
  • A. Lazarevic, V. Kumar
  • Published in KDD '05 2005
  • Computer Science
  • Outlier detection has recently become an important problem in many industrial and financial applications. [...] Key Method Every outlier detection algorithm uses a small subset of features that are randomly selected from the original feature set. As a result, each outlier detector identifies different outliers, and thus assigns to all data records outlier scores that correspond to their probability of being outliers.Expand Abstract
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