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Tutorial on practical tips of the most influential data preprocessing algorithms in data mining.

, , and . Knowl. Based Syst., (2016)

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A fuzzy associative classification system with genetic rule selection for high-dimensional problems., , and . GEFS, page 33-38. IEEE, (2010)A genetic learning of the fuzzy rule-based classification system granularity for highly imbalanced data-sets., , and . FUZZ-IEEE, page 1689-1694. IEEE, (2009)Connecting the numerical scale model to the unbalanced linguistic term sets., , and . FUZZ-IEEE, page 455-462. IEEE, (2014)Studying the behavior of a multiobjective genetic algorithm to design fuzzy rule-based classification systems for imbalanced data-sets., , and . FUZZ-IEEE, page 1239-1246. IEEE, (2011)Dynamically updated region based memetic algorithm for the 2013 CEC Special Session and Competition on Real Parameter Single Objective Optimization., , and . IEEE Congress on Evolutionary Computation, page 1945-1951. IEEE, (2013)Weighted one-class classification for different types of minority class examples in imbalanced data., , and . CIDM, page 337-344. IEEE, (2014)Special issue on hybrid artificial intelligence systems from the HAIS 2017 conference - Editorial., , , , and . Neurocomputing, (2019)Memetic Algorithm with Local Search Chaining for Continuous Optimization Problems: A Scalability Test., , and . ISDA, page 1068-1073. IEEE Computer Society, (2009)Study of the Influence of the Local Search Method in Memetic Algorithms for Large Scale Continuous Optimization Problems., , and . LION, volume 5851 of Lecture Notes in Computer Science, page 221-234. Springer, (2009)A Walk into Metaheuristics for Engineering Optimization: Principles, Methods and Recent Trends., , , and . Int. J. Comput. Intell. Syst., 8 (4): 606-636 (2015)