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A Model-Based Frequency Constraint for Mining Associations from Transaction Data
2006
Data mining and knowledge discovery
Mining frequent itemsets is a popular method for finding associated items in databases. For this method, support, the co-occurrence frequency of the items which form an association, is used as the primary indicator of the associations's significance. A single user-specified support threshold is used to decided if associations should be further investigated. Support has some known problems with rare items, favors shorter itemsets and sometimes produces misleading associations. In this paper we
doi:10.1007/s10618-005-0026-2
fatcat:tuui3jlumrfabjfqgzwastibgu