Mining top-k high utility itemsets with effective threshold raising strategies

作者：

Highlights：

• Presents an efficient top-k high utility itemset mining method.

• Introduces a novel Leaf Itemset Utility (LIU) structure and a threshold raising strategy.

• The proposed method significantly outperforms the state-of-the-art methods.

摘要

•Presents an efficient top-k high utility itemset mining method.•Introduces a novel Leaf Itemset Utility (LIU) structure and a threshold raising strategy.•The proposed method significantly outperforms the state-of-the-art methods.

论文关键词：Top-K high utility itemsets,Threshold raising strategies,Utility estimation method

论文评审过程：Received 6 July 2018, Revised 25 September 2018, Accepted 25 September 2018, Available online 27 September 2018, Version of Record 1 October 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.09.051