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Titlebook: Research and Development in Knowledge Discovery and Data Mining; Second Pacific-Asia Xindong Wu,Ramamohanarao Kotagiri,Kevin B. Korb Confe

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Mining market basket data using share measures and characterized itemsets,cterized itemsets can be generalized according to concept hierarchies associated with the characteristic attributes. Finally, we present experimental results that demonstrate the utility of the share-confidence framework.
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Representative association rules, a set of representative association rules instead of the whole set of association rules. The association rules, which are not representative ones, may be generated on demand by means of the cover operator. In this paper, we offer an algorithm computing representative association rules.
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Conference proceedings 1998 systems development. Among the areas covered are machine learning, information systems, the Internet, statistics, knowledge acquisition, data visualization, software reengineering, and knowledge based systems.
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,Discovering associations in spatial data — An efficient medoid based approach,like CLARANS are identified. We propose a novel idea, the stopping early of the heuristic search, and demonstrate that this provides large savings in computational time while the quality of the partition remains unaffected.
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