Statistical Approach for Data Mining to find the Frequent Item Sets
نویسندگان
چکیده
Association rule induction is a powerful data mining method. It is used to analyze the regularities in data trends by finding the frequent itemset and association between items or set of items.There is a great deal of overlap between data mining and statistics.In fact most of the techniques used in data mining can be in a Statistical frame work.In this paper an algorithm can be proposed for the purpose of finding Frequent Item sets.This algorithm is to capable to generate the frequent data items more close to the real life situations as it consider the Strength of Presence of each items implicitly.
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تاریخ انتشار 2013