Incremental frequent itemsets mining based on frequent pattern tree and multi-scale

作者：

Highlights：

• Multi-scale theory is incorporated to improve incremental mining efficiency.

• The scale-up algorithm based on similarity reduces the error.

• Extensive experiments verify our algorithm is more efficient.

摘要

•Multi-scale theory is incorporated to improve incremental mining efficiency.•The scale-up algorithm based on similarity reduces the error.•Extensive experiments verify our algorithm is more efficient.

论文关键词：Frequent itemsets mining,Multi-scale,Incremental mining,Frequent pattern tree,Association rules

论文评审过程：Received 15 February 2020, Revised 27 July 2020, Accepted 29 July 2020, Available online 5 August 2020, Version of Record 7 August 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113805