CoCo: coding cost for parameter-free outlier detection

@inproceedings{Bhm2009CoCoCC,
  title={CoCo: coding cost for parameter-free outlier detection},
  author={Christian B{\"o}hm and Katrin Haegler and Nikola S. M{\"u}ller and Claudia Plant},
  booktitle={KDD},
  year={2009}
}
How can we automatically spot all outstanding observations in a data set? This question arises in a large variety of applications, e.g. in economy, biology and medicine. Existing approaches to outlier detection suffer from one or more of the following drawbacks: The results of many methods strongly depend on suitable parameter settings being very difficult to estimate without background knowledge on the data, e.g. the minimum cluster size or the number of desired outliers. Many methods… CONTINUE READING
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