Algorithm for Mining Association Rule Based on the Identifier Lists of Transactions
基于事务标识列表的关联规则挖掘算法

This paper designs and implements an algorithm named TidlistApriori for mining association rule based on the identifier lists of transactions in database using Java.The results of experiment comparing TidlistApriori with Apriori based on Hash-Tree indicate that this algorithm can improve the efficiency of finding frequent item sets,and TidlistApriori can be used as efficient tool for mining topic association.