Generalized association rule mining plays a very important role in Knowledge discovery in Databases (KDD). Generalized association rule mining is an extension of traditional association rule mining to discover more informative rules. In this paper, we describe a formal method for the problem of mining generalized association rules. In proposed method, The subset-superset and the parent-child relationships among generalized itemsets are introduced to present the different views of generalized itemsets, i.e. concept hierarchy.
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