A novel concurrent relational association rule mining approach

作者：

Highlights：

• We propose a novel approach to concurrent relational association rule mining.

• Experiments show significant time reduction compared to the classical mining method.

• The algorithm is faster with 52:3% (in average) than the classical mining method.

摘要

•We propose a novel approach to concurrent relational association rule mining.•Experiments show significant time reduction compared to the classical mining method.•The algorithm is faster with 52:3% (in average) than the classical mining method.

论文关键词：Data mining,Relational association rules,Concurrency

论文评审过程：Received 1 November 2018, Revised 25 December 2018, Accepted 31 January 2019, Available online 1 February 2019, Version of Record 8 February 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.01.082