Jesus Alcala-Fdez

First name
Jesus
Last name
Alcala-Fdez

2023

Biedma-Rdguez, C. ., Gacto, M. J., Anguita-Ruiz, A. ., Alcalá, R. ., Aguilera, C. M., & Alcala-Fdez, J. . (2023). Learning positive-negative rule-based fuzzy associative classifiers with a good trade-off between complexity and accuracy. Fuzzy Sets and Systems, 465, 108511. https://doi.org/https://doi.org/10.1016/j.fss.2023.03.014
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Arteaga, M. ., Gacto, M. J., Galende, M. ., Alcala-Fdez, J. ., & Alcalá, R. . (2023). Enhancing soft computing techniques to actively address imbalanced regression problems. Expert Systems With Applications, 234, 121011. https://doi.org/https://doi.org/10.1016/j.eswa.2023.121011
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2020

Segura-Delgado, A. ., Gacto, M. J., Alcalá, R. ., & Alcala-Fdez, J. . (2020). Temporal association rule mining: An overview considering the time variable as an integral or implied component. WIREs Data Mining and Knowledge Discovery, 10. https://doi.org/10.1002/widm.1367 (Original work published 2020)
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2019

Gacto, M. J., Soto-Hidalgo, J. M., Alcala-Fdez, J. ., & Alcalá, R. . (2019). Experimental Study on 164 Algorithms Available in Software Tools for Solving Standard Non-Linear Regression Problems. IEEE Access, 7, 108916-108939. https://doi.org/10.1109/ACCESS.2019.2933261 (Original work published 2019)
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2018

Alcalá, R. ., Gacto, M. J., & Alcala-Fdez, J. . (2018). Evolutionary Data Mining and Applications: A Revision on the Most Cited Papers from the Last 10 Years (2007-2017). WIREs Data Mining and Knowledge Discover, 8, 1-17. https://doi.org/10.1002/widm.1239
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2017

Triguero, I. ., Gonzalez, S. ., Moyano, J. ., García López, S. ., Alcala-Fdez, J. ., Luengo, J. ., … PRESS., A. . (2017). KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining. International Journal of Computational Intelligence Systems, 10, 1238-1249.
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Sánchez, O. ., Moyano, J. M., Sánchez, L. ., & Alcala-Fdez, J. . (2017). Mining association rules in R using the package RKEEL. 1-6. https://doi.org/10.1109/FUZZ-IEEE.2017.8015572 (Original work published 2025)
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2015

Palacios, A. M., Palacios, J. L., Sánchez, L. ., & Alcala-Fdez, J. . (2015). Genetic learning of the membership functions for mining fuzzy association rules from low quality data. Information Sciences, 295, 358-378. https://doi.org/10.1016/j.ins.2014.10.027
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2012

Palacios, A. M., Gacto, M. J., & Alcala-Fdez, J. . (2012). Mining Fuzzy Association Rules from Low Quality Data. Soft Computing, 16, 883-901. https://doi.org/10.1007/s00500-011-0775-3
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2011

Alcala-Fdez, J. ., Fernández Hilario, A. L. . ., Luengo, J. ., Derrac, J. ., García López, S. ., Sánchez, L. ., & Herrera Triguero, F. . (2011). KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework. Journal of Multiple-Valued Logic and Soft Computing, 17, 255-287.
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