An efficient approach for mining association rules from high utility itemsets

作者：

Highlights：

• This paper addresses mining association rules from high utility itemsets.

• Designed FHIM algorithm extracts all high utility itemsets effectively.

• HUCI-Miner algorithm is used to derive itemsets with their generators efficiently.

• Condensed representation of association rules in share-confidence model is proposed.

• The method for extracting all rules from the compact representation is also proposed.

摘要

•This paper addresses mining association rules from high utility itemsets.•Designed FHIM algorithm extracts all high utility itemsets effectively.•HUCI-Miner algorithm is used to derive itemsets with their generators efficiently.•Condensed representation of association rules in share-confidence model is proposed.•The method for extracting all rules from the compact representation is also proposed.

论文关键词：Data mining,High utility itemset mining,Association rule mining,Condensed representations,Non-redundant association rules

论文评审过程：Available online 11 March 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.02.051