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An overview on subgroup discovery: foundations and applications, , , and . Knowledge and Information Systems, (2010)MEFASD-BD: Multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments-A MapReduce solution, , , , , and . Knowledge-Based Systems, (2017)A preliminary study on mutation operators in cooperative competitive algorithms for RBFN design., , , and . IJCNN, page 1-7. IEEE, (2010)Preselection of Neurostimulation Waveforms for Visual Prostheses using Genetic Algorithms., , , , , and . BIODEVICES, page 191-194. INSTICC Press, (2010)An analysis on the use of pre-processing methods in evolutionary fuzzy systems for subgroup discovery., , , and . Expert Syst. Appl., 39 (13): 11404-11412 (2012)An overview of emerging pattern mining in supervised descriptive rule discovery: taxonomy, empirical study, trends, and prospects., , , , and . WIREs Data Mining Knowl. Discov., (2018)A fuzzy genetic programming-based algorithm for subgroup discovery and the application to one problem of pathogenesis of acute sore throat conditions in humans., , , , , , and . Inf. Sci., (2015)E2PAMEA: A fast evolutionary algorithm for extracting fuzzy emerging patterns in big data environments., , , , and . Neurocomputing, (2020)Evolutionary-based selection of generalized instances for imbalanced classification., , , , and . Knowl. Based Syst., 25 (1): 3-12 (2012)FEPDS: A Proposal for the Extraction of Fuzzy Emerging Patterns in Data Streams., , , , and . IEEE Trans. Fuzzy Syst., 28 (12): 3193-3203 (2020)