An improved algorithm for mining class association rules using the difference of Obidsets

作者：

Highlights：

• Difference of Obidsets (d2O) is developed.

• Obidset can be replaced by d2O to compute the support of itemsets.

• Sorting strategy is derived for fast computing d2O of itemsets.

• An algorithm for fast mining CARs using d2O is also developed.

摘要

•Difference of Obidsets (d2O) is developed.•Obidset can be replaced by d2O to compute the support of itemsets.•Sorting strategy is derived for fast computing d2O of itemsets.•An algorithm for fast mining CARs using d2O is also developed.

论文关键词：Classification,Class association rules,Data mining,Difference of Obidsets,Tree structure

论文评审过程：Available online 13 January 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.01.002