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An analysis on the use of pre-processing methods in evolutionary fuzzy systems for subgroup discovery., , , и . Expert Syst. Appl., 39 (13): 11404-11412 (2012)A study on the use of statistical tests for experimentation with neural networks: Analysis of parametric test conditions and non-parametric tests., , и . Expert Syst. Appl., 36 (4): 7798-7808 (2009)On the choice of the best imputation methods for missing values considering three groups of classification methods., , и . Knowl. Inf. Syst., 32 (1): 77-108 (2012)Multi-step histogram based outlier scores for unsupervised anomaly detection: ArcelorMittal engineering dataset case of study., , , , , , и . Neurocomputing, (августа 2023)Enabling Smart Data: Noise filtering in Big Data classification., , , и . CoRR, (2017)Fast and Scalable Approaches to Accelerate the Fuzzy k-Nearest Neighbors Classifier for Big Data., , , , и . IEEE Trans. Fuzzy Syst., 28 (5): 874-886 (2020)A study on the use of imputation methods for experimentation with Radial Basis Function Network classifiers handling missing attribute values: The good synergy between RBFNs and EventCovering method., , и . Neural Networks, 23 (3): 406-418 (2010)Emerging topics and challenges of learning from noisy data in nonstandard classification: a survey beyond binary class noise., , и . Knowl. Inf. Syst., 60 (1): 63-97 (2019)A First Study on the Use of Noise Filtering to Clean the Bags in Multi-Instance Classification., , , и . LOPAL, стр. 3:1-3:6. ACM, (2018)A Preliminary Study on Selecting the Optimal Cut Points in Discretization by Evolutionary Algorithms., , , , и . ICPRAM (1), стр. 211-216. SciTePress, (2012)