Machine learning based feature selection and knowledge reasoning for CBR system under big data

作者：

Highlights：

• Take probabilistic prediction of BN as knowledge reasoning (case retrieval) method.

• Propose probability calculation based feature selection method—WRPCSP algorithm.

• Propose GO algorithm to assign the computing task of big data.

摘要

•Take probabilistic prediction of BN as knowledge reasoning (case retrieval) method.•Propose probability calculation based feature selection method—WRPCSP algorithm.•Propose GO algorithm to assign the computing task of big data.

论文关键词：WRPCSP algorithm,GO algorithm,Case based reasoning,Machine learning

论文评审过程：Received 14 April 2019, Revised 13 December 2020, Accepted 26 December 2020, Available online 30 December 2020, Version of Record 6 January 2021.

论文官网地址：https://doi.org/10.1016/j.patcog.2020.107805