Discovering frequent itemsets by support approximation and itemset clustering

Abstract

To speed up the task of association rule mining, a novel concept based on support approximation has been previously proposed for generating frequent itemsets. However, the mining technique utilized by this concept may incur unstable accuracy due to approximation error. To overcome this drawback, in this paper we combine a new clustering method with support… (More)
DOI: 10.1016/j.datak.2007.10.003

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12 Figures and Tables