Abstract
Abstract Increase the volume of data, analysis of patterns derived from data mining activities do more complex . different ways to overcome this problem exist some of these approaches could break the patterns set to smaller subsets so that similar patterns are placed in a section. In this article we intend large volumes of association rules extracted from a hypermarket customers transactions by the clustering method to partition the rules until rules analyze will perform quickly and more accurately.
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