Combining Association Rules and Clustering in Data Mining

Provided by: AICIT
Topic: Big Data
Format: PDF
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 paper, the authors intend large volumes of association rules extracted from hypermarket customers transactions by the clustering method to partition the rules until rules analyze will perform quickly and more accurately.

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