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Using Evolutionary Programming and Minimum Description Length Principle for Data Mining of Bayesian Networks.

, , and . IEEE Trans. Pattern Anal. Mach. Intell., 21 (2): 174-178 (1999)

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Evolutionary algorithms for data mining., and . Genet. Program. Evolvable Mach., 13 (1): 69-70 (2012)Stephen H. Muggleton and Hiroaki Watanabe (Eds.): Latest advances in inductive logic programming - World Scientific Publishing, 2014, ISBN: 978-1783265084.. Genet. Program. Evolvable Mach., 17 (1): 77-79 (2016)An improved dynamic multi-objective optimization approach for nonlinear equation systems., and . Inf. Sci., (2021)Using Evolutionary Programming and Minimum Description Length Principle for Data Mining of Bayesian Networks., , and . IEEE Trans. Pattern Anal. Mach. Intell., 21 (2): 174-178 (1999)Cost-sensitive ensemble of stacked denoising autoencoders for class imbalance problems in business domain., , and . Expert Syst. Appl., (2020)Applying Logic Grammars to Induce Sub-Functions in Genetic Programming, and . 1995 IEEE Conference on Evolutionary Computation, 2, page 737--740. Perth, Australia, IEEE Press, (29 November - 1 December 1995)Discovering Probabilistic Knowledge from Databases Using Evolutionary Computation and Minimum Description Length Principle, , , and . Genetic Programming 1998: Proceedings of the Third Annual Conference, page 786--794. University of Wisconsin, Madison, Wisconsin, USA, Morgan Kaufmann, (22-25 July 1998)An Adaptive Inductive Logic Programming System Using Genetic Programming., and . Evolutionary Programming, page 737-752. A Bradford Book, MIT Press. Cambridge, Massachusetts., (1995)Evolutionary Program Induction Directed by Logic Grammars., and . Evol. Comput., 5 (2): 143-180 (1997)A Bibliometric Review of Soft Computing for Recommender Systems and Sentiment Analysis., , , , , , and . IEEE Trans. Artif. Intell., 3 (5): 642-656 (2022)