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An evolutionary fuzzy system for the detection of exceptions in subgroup discovery.

, , , , and . IFSA/NAFIPS, page 74-79. IEEE, (2013)

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Analysis of the impact of using different diversity functions for the subgroup discovery algorithm NMEEF-SD., , , and . GEFS, page 17-23. IEEE, (2011)Dealing with difficult minority labels in imbalanced mutilabel data sets., , , and . Neurocomputing, (2019)A Short Study on the Use of Genetic 2-Tuples Tuning for Fuzzy Rule Based Classification Systems in Imbalanced Data-Sets., , and . HIS, page 483-488. IEEE Computer Society, (2008)An Study on Data Mining Methods for Short-Term Forecasting of the Extra Virgin Olive Oil Price in the Spanish Market., , , , , , and . HIS, page 943-946. IEEE Computer Society, (2008)Study of the Robustness of a Meta-Algorithm for the Estimation of Parameters in Artificial Neural Networks Design., , , and . HIS, page 519-524. IEEE Computer Society, (2008)Analysing Concentrating Photovoltaics Technology Through the Use of Emerging Pattern Mining., , , , and . SOCO-CISIS-ICEUTE, volume 527 of Advances in Intelligent Systems and Computing, page 334-344. (2016)EMORBFN: An Evolutionary Multiobjetive Optimization Algorithm for RBFN Design., , , , and . IWANN (1), volume 5517 of Lecture Notes in Computer Science, page 752-759. Springer, (2009)Revisiting Evolutionary Fuzzy Systems: Taxonomy, applications, new trends and challenges., , , and . Knowl. Based Syst., (2015)Tackling Multilabel Imbalance through Label Decoupling and Data Resampling Hybridization., , , and . CoRR, (2018)KEEL: a software tool to assess evolutionary algorithms for data mining problems., , , , , , , , , and 2 other author(s). Soft Comput., 13 (3): 307-318 (2009)