Mining Gradual Dependencies based on Fuzzy Rank Correlation
نویسندگان
چکیده
We propose a novel framework and an algorithm for mining gradual dependencies between attributes in a data set. Our approach is based on the use of fuzzy rank correlation for measuring the strength of a dependency. It can be seen as a unification of previous approaches to evaluating gradual dependencies and captures both, qualitative and quantitative measures of association as special cases.
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تاریخ انتشار 2010