Temporal Fuzzy Utility Mining with Upper-Bound
نویسندگان
چکیده
Fuzzy utility mining reflects fuzzy degrees of quantities and profits for high utility itemsets. In generally, transaction time is also concerned, and not all products sold are always on the shelf. Thus, in this paper we present an effective framework, which considers the transaction period of each product from the first transaction it appears to the last transaction in the whole database for mining temporal high fuzzy utility itemsets. For reflecting the downward-closure property, an effective upper-bound model is designed to avoid information loss in mining. Based on the proposed model, the efficient two-phase algorithm named TP-THFU is developed to deal with temporal fuzzy utility mining problem.
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