PBC4cip: A new contrast pattern-based classifier for class imbalance problems

作者：

Highlights：

• A new contrast pattern-based classifier for class imbalance problems is introduced.

• PBC4cip is based on the support of the patterns and the class imbalance level.

• PBC4cip outperforms several classifiers designed for class imbalance problems.

摘要

•A new contrast pattern-based classifier for class imbalance problems is introduced.•PBC4cip is based on the support of the patterns and the class imbalance level.•PBC4cip outperforms several classifiers designed for class imbalance problems.

论文关键词：Supervised classifier,Contrast patterns,Imbalanced databases

论文评审过程：Received 5 July 2016, Revised 7 September 2016, Accepted 15 October 2016, Available online 17 October 2016, Version of Record 18 November 2016.

论文官网地址：https://doi.org/10.1016/j.knosys.2016.10.018