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Method of Mining Inter-transaction Association Rules Based on Maximum Frequent Itemsets
一种基于最大频繁项目集的挖掘事务间关联规则方法

Keywords: Web inter-transation association rules,Improved algorithm of mafia,Maximum frequent itemsets,User's interesting model
Web事务间关联规则
,改进的MAFIA算法,最大频繁项目集,用户兴趣模型

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Abstract:

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 ...

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