Fast Algorithm for Mining Generalized Association Rules
نویسندگان
چکیده
In this paper, we present a new algorithm for mining generalized association rules. We develop the algorithm which scans database one time only and use Tidset to compute the support of generalized itemset faster. A tree structure called GIT-tree, an extension of IT-tree, is developed to store database for mining frequent itemsets from hierarchical database. Our algorithm is often faster than MMS_Cumulate, an algorithm mining frequent itemsets in hierarchical database with multiple minimum supports, in experimental databases.
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تاریخ انتشار 2009