A novel ensemble method for classifying imbalanced data

作者：

Highlights：

• We propose a novel ensemble method to handle imbalanced binary data.

• The method turns imbalanced data learning into multiple balanced data learning.

• Our method usually performs better than the conventional methods on imbalanced data.

摘要

Highlights•We propose a novel ensemble method to handle imbalanced binary data.•The method turns imbalanced data learning into multiple balanced data learning.•Our method usually performs better than the conventional methods on imbalanced data.

论文关键词：Imbalanced data,Classification,Ensemble learning

论文评审过程：Received 2 January 2014, Revised 18 November 2014, Accepted 22 November 2014, Available online 29 November 2014.

论文官网地址：https://doi.org/10.1016/j.patcog.2014.11.014