%0 Journal Article
%T Method of Mining Inter-transaction Association Rules Based on Maximum Frequent Itemsets<br>一种基于最大频繁项目集的挖掘事务间关联规则方法
%A REN Yong-gong
%A ZHANG Yan-yu
%A <br>任永功
%A 张琰渝
%J 计算机科学
%D 2008
%I 
%X Mining Web inter-transaction association rules is to predict the users' interesting by finding the relationship among Web pages.We proposed a new method of mining inter-transaction association rules,that improve the Mafia for getting the maximum frequent itemsets and the relative CUI(Common User Intersection),transform the maximum frequent itemsets from intra-transaction into inter-transaction,analysed the relationship among different users and analysis the visiting information of Web pages.The association ...
%K Web inter-transation association rules
%K Improved algorithm of mafia
%K Maximum frequent itemsets
%K User's interesting model<br>Web事务间关联规则
%K 改进的MAFIA算法
%K 最大频繁项目集
%K 用户兴趣模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=5CB865B5962EE19F316B836EA512A46E&yid=67289AFF6305E306&vid=6209D9E8050195F5&iid=708DD6B15D2464E8&sid=D46BA3D3D4B3C585&eid=847B14427F4BF76A&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=10