Efficient approach for incremental weighted erasable pattern mining with list structure

作者：

Highlights：

• Efficient Incremental Weighted Erasable Pattern Mining is suggested.

• List structures for incremental weighted erasable patterns are proposed.

• Pruning techniques considering the list structures are presented.

• Performance improvements are shown with various experiments.

摘要

•Efficient Incremental Weighted Erasable Pattern Mining is suggested.•List structures for incremental weighted erasable patterns are proposed.•Pruning techniques considering the list structures are presented.•Performance improvements are shown with various experiments.

论文关键词：Data mining,Erasable patterns,Incremental mining,Weighted conditions,Pruning techniques

论文评审过程：Received 31 December 2018, Revised 9 November 2019, Accepted 11 November 2019, Available online 13 November 2019, Version of Record 18 November 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.113087