EXPEDITE: EXPress closED ITemset Enumeration

作者：

Highlights：

• A new and efficient algorithm for mining frequent closed itemsets is presented.

• We introduce a hashtable-based technique for checking duplicate itemsets.

• We explain how to obtain the iceberg concept lattice using our algorithm.

• Our findings are corroborated by sound theory and supported by extensive experiments.

摘要

•A new and efficient algorithm for mining frequent closed itemsets is presented.•We introduce a hashtable-based technique for checking duplicate itemsets.•We explain how to obtain the iceberg concept lattice using our algorithm.•Our findings are corroborated by sound theory and supported by extensive experiments.

论文关键词：Data mining,Knowledge discovery,Closed itemsets,Frequent itemsets,Algorithms

论文评审过程：Available online 14 January 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.12.031