Peculiarity Analysis for Classifications

@article{Yang2009PeculiarityAF,
  title={Peculiarity Analysis for Classifications},
  author={Jian Yang and Ning Zhong and Yiyu Yao and Jue Wang},
  journal={2009 Ninth IEEE International Conference on Data Mining},
  year={2009},
  pages={607-616}
}
Peculiarity-oriented mining (POM) is a new data mining method consisting of peculiar data identification and peculiar data analysis. Peculiarity factor (PF) and local peculiarity factor (LPF) are important concepts employed to describe the peculiarity of points in the identification step. One can study the notions at both attribute and record levels. In this paper, a new record LPF called distance based record LPF (D-record LPF) is proposed, which is defined as the sum of distances between a… CONTINUE READING

Similar Papers

Loading similar papers…