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Data Mining is an activity that extracts some new useful information contained in large databases. Traditional data mining methodologies focused largely on detecting the statistical correlations between the items that are more frequent in the transaction databases. Association Rule Mining focuses on existence of an item in a transaction, whether or not it is purchased. The drawbacks of frequent itemset mining leads to consider a utility mining, which allows a user to conveniently express thedoi:10.5281/zenodo.813941 fatcat:boaxxi6k2vf2pei4epaplyuclm