%0 Journal Article
%T Algorithm for Mining Association Rule Based on the Identifier Lists of Transactions<br>基于事务标识列表的关联规则挖掘算法
%A Wang Qiang
%A <br>王强
%J 现代图书情报技术
%D 2008
%I 
%X 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.
%K Frequent item sets Association rule mining Data mining Topic association<br>频繁项集
%K 关联规则挖掘
%K 数据挖掘
%K 主题关联
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=B5EDD921F3D863E289B22F36E70174A7007B5F5E43D63598017D41BB67247657&cid=E46382710BF131B2&jid=24AADBCD0D5373C73F37F78D10E2F717&aid=4AF54A709EAFD5A0F80DD9DA014AAA55&yid=67289AFF6305E306&vid=38B194292C032A66&iid=5D311CA918CA9A03&sid=E84BBBDDD74F497C&eid=CB423C9A71560A74&journal_id=1003-3513&journal_name=现代图书情报技术&referenced_num=0&reference_num=1