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A fuzzy coherent rule mining algorithm
2013
Applied Soft Computing
In real-world applications, transactions usually consist of quantitative values. Many fuzzy data mining approaches have thus been proposed for finding fuzzy association rules with the predefined minimum support from the give quantitative transactions. However, the common problems of those approaches are that an appropriate minimum support is hard to set, and the derived rules usually expose common-sense knowledge which may not be interesting in business point of view. In this paper, an
doi:10.1016/j.asoc.2012.12.031
fatcat:jgwijhumzbbx5cpxgdxqvolmly