A novel feature selection method considering feature interaction

作者：

Highlights：

• A novel feature selection method based on interaction weight factor is proposed.

• We redefined relevance, redundancy and interaction of features in the framework of information theory.

• The algorithm can deal with irrelevant, redundant and interactive features.

• Our method obtains the best average accuracies compared with the other five algorithms.

摘要

•A novel feature selection method based on interaction weight factor is proposed.•We redefined relevance, redundancy and interaction of features in the framework of information theory.•The algorithm can deal with irrelevant, redundant and interactive features.•Our method obtains the best average accuracies compared with the other five algorithms.

论文关键词：Feature selection,Feature interaction,Interaction weight factor,Filter method

论文评审过程：Received 27 April 2014, Revised 19 November 2014, Accepted 25 February 2015, Available online 4 March 2015.

论文官网地址：https://doi.org/10.1016/j.patcog.2015.02.025