Value of fuzzy logic for data mining and machine learning: A case study

作者：

Highlights：

• A clustering-based technique is proposed to speed-up association rule mining (ARM).

• Fuzzy logic, data mining and machine learning relations are considered in the paper.

• The paper contributes to the comparative analysis of fuzzy and non-fuzzy ARM.

摘要

•A clustering-based technique is proposed to speed-up association rule mining (ARM).•Fuzzy logic, data mining and machine learning relations are considered in the paper.•The paper contributes to the comparative analysis of fuzzy and non-fuzzy ARM.

论文关键词：Association rule mining,Clustering,Data mining,Fuzzy logic,Machine learning

论文评审过程：Received 12 February 2020, Revised 21 June 2020, Accepted 18 July 2020, Available online 25 July 2020, Version of Record 6 August 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113781