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Fernandez-Peralta, Raquel; Massanet, Sebastia; Gupta, Megha; Nanavati, Kavit; Jayaram, Balasubramaniam
2023 IEEE International Conference on Fuzzy Systems (FUZZ), 2023-Aug.-13Conference Proceeding
Subgroup Discovery is a descriptive data mining technique for obtaining subgroups with unusual statistical characteristics with respect to a given target variable. In this paper, unlike existing approaches, we capture the data in the form of implicative-type fuzzy rules and propose an algorithm to determine sharp transitions in the consequent when there is a minimal change in the antecedent. Our study contained herein highlights the role and employability of fuzzy implication functions in such settings through illustrative examples with several real datasets.
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