RuleCOSI: Combination and simplification of production rules from boosted decision trees for imbalanced classification

作者：

Highlights：

• A combination algorithm for ensemble of decision trees is proposed.

• RuleCOSI algorithm transforms boosted decision trees into a single ruleset.

• The combined rules are simpler than original rules of boosting ensemble.

• The performance of the simple production rules was acceptable.

摘要

•A combination algorithm for ensemble of decision trees is proposed.•RuleCOSI algorithm transforms boosted decision trees into a single ruleset.•The combined rules are simpler than original rules of boosting ensemble.•The performance of the simple production rules was acceptable.

论文关键词：Ensemble learning,Boosting,Decision trees,Rule extraction,Imbalanced classification

论文评审过程：Received 9 May 2018, Revised 7 February 2019, Accepted 8 February 2019, Available online 12 February 2019, Version of Record 19 February 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.02.012