Empowering one-vs-one decomposition with ensemble learning for multi-class imbalanced data

作者：

Highlights：

• Extending binary ensemble techniques to multi-class imbalanced data.

• OVO scheme enhancement for multi-class imbalanced data by ensemble learning.

• A complete experimental study of comparison of the ensemble learning techniques with OVO.

• Study of the impact of base classifiers used in the proposed scenario.

摘要

•Extending binary ensemble techniques to multi-class imbalanced data.•OVO scheme enhancement for multi-class imbalanced data by ensemble learning.•A complete experimental study of comparison of the ensemble learning techniques with OVO.•Study of the impact of base classifiers used in the proposed scenario.

论文关键词：Multi-class classification,Imbalanced data,Ensemble learning,Binary decomposition,Classifier combination

论文评审过程：Received 3 November 2015, Revised 1 April 2016, Accepted 24 May 2016, Available online 25 May 2016, Version of Record 18 June 2016.

论文官网地址：https://doi.org/10.1016/j.knosys.2016.05.048