GEP-based classifier for mining imbalanced data

作者：

Highlights：

• A new approach to incrementally mining imbalanced datasets is proposed.

• A new mechanism for the minority class data reuse is suggested.

• Gene Expression Programming is used for inducing complex expression trees.

• The good performance of the approach is confirmed experimentally.

摘要

•A new approach to incrementally mining imbalanced datasets is proposed.•A new mechanism for the minority class data reuse is suggested.•Gene Expression Programming is used for inducing complex expression trees.•The good performance of the approach is confirmed experimentally.

论文关键词：Imbalanced classification,Incremental learning,Gene expression programming

论文评审过程：Received 18 May 2020, Revised 14 September 2020, Accepted 24 September 2020, Available online 25 September 2020, Version of Record 30 September 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114058