A Novel Initial Population Construction Heuristic for the DINOS Subgroup Discovery Algorithm
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-89691-1_27
Reference21 articles.
1. de Albuquerque Torreao, V., Vimieiro, R.: Effects of population initialization on evolutionary techniques for subgroup discovery in high dimensional datasets. In: 2018 7th Brazilian Conference on Intelligent Systems (BRACIS), pp. 25–30 (2018)
2. Carmona, C., del Jesus, M., Herrera, F.: A unifying analysis for the supervised descriptive rule discovery via the weighted relative accuracy. Knowl.-Based Syst. 139, 89–100 (2018)
3. Carmona, C.J., González, P., Del Jesus, M.J., Herrera, F.: NMEEF-SD: non-dominated multiobjective evolutionary algorithm for extracting fuzzy rules in subgroup discovery. IEEE Trans. Fuzzy Syst. 18, 958–970 (2010)
4. Carmona, C.J., González, P., Del Jesus, M.J., Romero, C., Ventura, S.: Evolutionary algorithms for subgroup discovery applied to e-learning data. In: 2010 IEEE Education Engineering Conference, EDUCON 2010, pp. 983–990 (2010)
5. Carmona, C.J., González, P., del Jesús, M.J.: FuGePSD: fuzzy genetic programming-based algorithm for subgroup discovery. In: Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology, pp. 447–454. Atlantis Press (2015/2016)
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