关键词: 高激励项集, 关联规则, 支持度, 基于效用

Abstract: Algorithms for support-based association rules mining can only discover frequent itemsets，but can not discover the non-frequent itemsets with high utility values；Utility-based association rules mining aims at discovering high utility itemsets，without considering the itemsets whose utility values are not high but the product of the support and utility of the same itemset is very large.To solve the problem，a new measure is proposed，i.e.，motivation，to measure the importance of an itemset and a down-top algorithm called HM-Two-Phase-Miner to discover high motivation itemsets.Motivation integrates the advantages of support and utility，and thus can reflect both the semantic significance and statistical significance of an itemset.In HM-Two-Phase-Miner algorithm，transaction-weighted motivation downward closure property is adopted to cut down the search space.

Key words: high motivation itemset, association rule, support, utility-based