Xiang Yang-Li

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Association rule mining can be considered as a multi-objective problem, rather than as a single objective one. To enhance the correlation degree and comprehensibility of association rule, two new measures, including statistical correlation and comprehensibility, as objection functions are proposed in this paper. Their calculating formulas and primary(More)
Association rules mining is an important data mining task, this paper emphatically analyzes realization skill and defects of existing algorithms. On the basis, a novel measure, named statistical correlation, which can indicate the correlation degree of multi-items in a rule, is put forward to cut association rules with independent or negative correlation,(More)
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