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Using dynamic mutation rates in gene-set genetic algorithms.

, , and . SMC, page 4018-4022. IEEE, (2010)

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Mining Multiple-Level Association Rules Under the Maximum Constraint of Multiple Minimum Supports., , and . IEA/AIE, volume 4031 of Lecture Notes in Computer Science, page 1329-1338. Springer, (2006)Effective Natural Language Processing and Interpretable Machine Learning for Structuring CT Liver-Tumor Reports., , , , , , , , , and 1 other author(s). IEEE Access, (2022)A multiple-level genetic-fuzzy mining algorithm., , and . FUZZ-IEEE, page 278-282. IEEE, (2011)Mining fuzzy coherent rules from quantitative transactions without minimum support threshold., , , and . FUZZ-IEEE, page 1-5. IEEE, (2012)Mining Fuzzy Association Rules with Multiple Minimum Supports Using Maximum Constraints., , and . KES, volume 3214 of Lecture Notes in Computer Science, page 1283-1290. Springer, (2004)Finding Active Membership Functions for Genetic-Fuzzy Data Mining., , , and . Int. J. Inf. Technol. Decis. Mak., 14 (6): 1215-1242 (2015)Mining Generalized Association Rules with Quantitative Data under Multiple Support Constraints., , and . ICCCI (2), volume 6422 of Lecture Notes in Computer Science, page 224-231. Springer, (2010)Using dynamic mutation rates in gene-set genetic algorithms., , and . SMC, page 4018-4022. IEEE, (2010)A fuzzy coherent rule mining algorithm., , and . Appl. Soft Comput., 13 (7): 3422-3428 (2013)An Overview of Mining Fuzzy Association Rules., and . Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, volume 220 of Studies in Fuzziness and Soft Computing, Springer, (2008)