A cost sensitive decision tree algorithm with two adaptive mechanisms

作者：

Highlights：

• An adaptive selecting cut point mechanism is designed to build a classifier.

• Adaptive removing attribute mechanism will remove the redundant attributes.

• We adopt two mechanisms to design algorithm which for classifier construction.

• Experimental results show the effectiveness and feasibility of our algorithm.

摘要

•An adaptive selecting cut point mechanism is designed to build a classifier.•Adaptive removing attribute mechanism will remove the redundant attributes.•We adopt two mechanisms to design algorithm which for classifier construction.•Experimental results show the effectiveness and feasibility of our algorithm.

论文关键词：Adaptive mechanisms,Cost sensitive,Decision tree,Granular computing

论文评审过程：Received 30 January 2015, Revised 16 August 2015, Accepted 18 August 2015, Available online 24 August 2015, Version of Record 11 September 2015.

论文官网地址：https://doi.org/10.1016/j.knosys.2015.08.012