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ISSN: 2333-9721
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A new algorithm for mining maximal frequent itemsets
一种新的最大频繁项目集挖掘算法

Keywords: data mining,maximal frequent itemsets,association roles
数据挖掘
,最大频繁项目集,关联规则

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Abstract:

Maximal frequent itemsets mining was one of the most important basic problems for itemset mining. Based on the analysis of the existing algorithms, a new algorithm for maximal frequent itemsets mining was presented. Comparative experiments show that the new algorithm outperforms the current algorithms such as MAximal Frequent Itemset Algorithm for transactional database (MAFIA).

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