A framework for incremental generation of closed itemsets

Abstract

Association rule mining from a transaction database (TDB) requires the detection of frequently occurring patterns, called frequent itemsets (FIs), whereby the number ofFIsmay be potentially huge. Recent approaches forFImining use the closed itemset paradigm to limit themining effort to a subset of the entireFI family, the frequent closed itemsets (FCIs).We… (More)
DOI: 10.1016/j.dam.2007.08.004

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