Ranking Outliers Using Symmetric Neighborhood Relationship

@inproceedings{Jin2006RankingOU,
  title={Ranking Outliers Using Symmetric Neighborhood Relationship},
  author={Wen Jin and Anthony K. H. Tung and Jiawei Han and Wei Wang},
  booktitle={PAKDD},
  year={2006}
}
Mining outliers in database is to find exceptional objects that deviate from the rest of the data set. Besides classical outlier analysis algorithms, recent studies have focused on mining local outliers, i.e., the outliers that have density distribution significantly different from their neighborhood. The estimation of density distribution at the location of an object has so far been based on the density distribution of its k-nearest neighbors [2, 11]. However, when outliers are in the location… CONTINUE READING
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