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The classical algorithms for mining association rule require the user to specify a support threshold to determine if an itemset is frequent or not. Unfortunately, the setting of support threshold is subjective without clear standard and has great influence on the mining results. In this paper we propose an intelligent minimum support suggestion framework with the help of the user preference ontology...
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