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Frequent item mining has been extensively used in association rules mining. The goal of frequent itemset mining is to discover all the itemsets whose supports in the database exceed a user-specified threshold. However, it often generates a large number of candidate itemset, which reduce the effectiveness of the mining algorithms. Constraint-based mining enables users to provide restraints on mining...