ACO Resampling: Enhancing the performance of oversampling methods for class imbalance classification

作者：

Highlights：

• ACOR rebalances an imbalanced dataset by a specific oversampling algorithm.

• ACOR does not focus on the mechanics of generating new samples.

• ACOR can enhance the performance of existing oversampling algorithms.

摘要

•ACOR rebalances an imbalanced dataset by a specific oversampling algorithm.•ACOR does not focus on the mechanics of generating new samples.•ACOR can enhance the performance of existing oversampling algorithms.

论文关键词：Machine learning,Imbalanced learning,Oversampling,Ant colony optimization resampling

论文评审过程：Received 20 September 2019, Revised 17 February 2020, Accepted 24 March 2020, Available online 30 March 2020, Version of Record 16 April 2020.

论文官网地址：https://doi.org/10.1016/j.knosys.2020.105818