Significance-based discriminative sequential pattern mining

作者：

Highlights：

• The significance-based discriminative sequential pattern mining issue is proposed.

• Our algorithm can detect discriminative sequential patterns with quality control.

• Experimental results demonstrate the advantages and feasibility of our proposal.

摘要

•The significance-based discriminative sequential pattern mining issue is proposed.•Our algorithm can detect discriminative sequential patterns with quality control.•Experimental results demonstrate the advantages and feasibility of our proposal.

论文关键词：Sequential pattern,Discriminative pattern,Multiple hypothesis testing,Family-wise error rate,False discovery rate

论文评审过程：Received 18 May 2018, Revised 24 December 2018, Accepted 25 December 2018, Available online 25 December 2018, Version of Record 29 December 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.12.046