An efficient algorithm for unique class association rule mining

作者：

Highlights：

• Unique patterns extraction of datasets.

• Efficient and complete search for Class-based association rules CARs.

• Performance of extracting CARs based on the Subsumption and Nonsense hypotheses.

• Building rule-spaces and Ranking of datasets.

摘要

•Unique patterns extraction of datasets.•Efficient and complete search for Class-based association rules CARs.•Performance of extracting CARs based on the Subsumption and Nonsense hypotheses.•Building rule-spaces and Ranking of datasets.

论文关键词：Unique association rules,Unique itemsets search,Class based association rules,Rule space,Dataset ranking,Uniqueness,Nonsense Hypothesis,Subsumption hypothesis

论文评审过程：Received 6 April 2020, Revised 14 August 2020, Accepted 4 September 2020, Available online 19 September 2020, Version of Record 28 September 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113978