Mining class outliers: concepts, algorithms and applications in CRM

@article{He2004MiningCO,
  title={Mining class outliers: concepts, algorithms and applications in CRM},
  author={Zengyou He and Xiaofei Xu and Joshua Zhexue Huang and Shengchun Deng},
  journal={Expert Syst. Appl.},
  year={2004},
  volume={27},
  pages={681-697}
}
Outliers, or commonly referred to as exceptional cases, exist in many real-world databases. Detection of such outliers is important for many applications and has attracted much attention from the data mining research community recently. However, most existing methods are designed for mining outliers from a single dataset without considering the class labels of data objects. In this paper, we consider the class outlier detection problem ‘given a set of observations with class labels, find those… CONTINUE READING

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