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Alternative interest measures for mining associations in databases
2003
IEEE Transactions on Knowledge and Data Engineering
Data mining is defined as the process of discovering significant and potentially useful patterns in large volumes of data. Discovering associations between items in a large database is one such data mining activity. In finding associations, support is used as an indicator as to whether an association is interesting. In this paper, we discuss three alternative interest measures for associations: any-confidence, all-confidence, and bond. We prove that the important downward closure property
doi:10.1109/tkde.2003.1161582
fatcat:xuaeq5htkzhrjjq6fk333pp4bm