Two-layer random forests model for case reuse in case-based reasoning

作者：

Highlights：

• This research proposes a novel approach for case reuse in CBR.

• The gravitational self-organizing mapping algorithm is used to organize the cases.

• The two-layer model scheme is proposed to improve the case reuse accuracy.

• The random forests algorithm is adopted in the two-layer model scheme.

摘要

•This research proposes a novel approach for case reuse in CBR.•The gravitational self-organizing mapping algorithm is used to organize the cases.•The two-layer model scheme is proposed to improve the case reuse accuracy.•The random forests algorithm is adopted in the two-layer model scheme.

论文关键词：Two-layer model,Random forests,Case-based reasoning,Case reuse,Ensemble learning

论文评审过程：Received 31 March 2015, Revised 2 August 2015, Accepted 3 August 2015, Available online 7 August 2015, Version of Record 27 September 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.08.005