An efficient approach for mining cross-level closed itemsets and minimal association rules using closed itemset lattices
作者:
Highlights:
• An efficient algorithm is proposed for mining cross and multilevel closed itemsets.
• Closed itemset lattice properties are fully exploited in our approach.
• Minimal cross and multilevel association rules are generated in effective manner.
• Real-life applications and advantages of our approach are discussed and analyzed.
• Extensive performance study shows the efficiency and scalability of our algorithm.
摘要
•An efficient algorithm is proposed for mining cross and multilevel closed itemsets.•Closed itemset lattice properties are fully exploited in our approach.•Minimal cross and multilevel association rules are generated in effective manner.•Real-life applications and advantages of our approach are discussed and analyzed.•Extensive performance study shows the efficiency and scalability of our algorithm.
论文关键词:Data mining,Association rules,Frequent itemset,Closed itemset,Minimal rules,Closed itemset lattice
论文评审过程:Available online 22 October 2013.
论文官网地址:https://doi.org/10.1016/j.eswa.2013.09.052