García-Vico, Ángel M. ., Seker, H. ., Carmona, C. J. ., González García, P. ., & del Jesus Díaz, M. J. . (2021). FEPDS: Una propuesta para la extracción de patrones emergentes difusos en flujos continuos de datos. Presentado en.
Cristóbal J. Carmona
First name
Cristóbal J.
Last name
Carmona
2021
2020
Carmona, C. J. ., González García, P. ., García-Vico, Ángel M. ., & del Jesus Díaz, M. J. . (2020). A Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns. 1268, 100. https://doi.org/10.1007/978-3-030-57802-2_10
García-Vico, Ángel M. ., Charte Ojeda, F. ., González García, P. ., Elizondo, D. ., & Carmona, C. J. . (2020). E2PAMEA: A fast evolutionary algorithm for extracting fuzzy emerging patterns in big data environments. Neurocomputing, 415, 60-73. https://doi.org/10.1016/j.neucom.2020.07.007 (Original work published 2020)
García-Vico, Ángel M. ., Carmona, C. J. ., González García, P. ., Seker, H. ., & del Jesus Díaz, M. J. . (2020). FEPDS: A Proposal for the Extraction of Fuzzy Emerging Patterns in Data Streams. IEEE Transactions on Fuzzy Systems, 28, 3193-3203. https://doi.org/10.1109/TFUZZ.2020.2992849 (Original work published 2020)
2019
García-Vico, Ángel M. ., González García, P. ., Carmona, C. J. ., & del Jesus Díaz, M. J. . (2019). Study on the use of different quality measures within a multi-objective evolutionary algorithm approach for emerging pattern mining in big data environments. Big Data Analytics, 4, 1. https://doi.org/10.1186/s41044-018-0038-8
Luna, J. M., Carmona, C. J. ., García-Vico, Ángel M. ., del Jesus Díaz, M. J. ., & Ventura, S. . (2019). Subgroup Discovery on Multiple Instance Data. International Journal of Computational Intelligence Systems, 12, 1602-1612. https://doi.org/10.2991/ijcis.d.191213.001 (Original work published 2019)
García-Vico, Ángel M. ., González García, P. ., Carmona, C. J. ., & del Jesus Díaz, M. J. . (2019). A Big Data Approach for the Extraction of Fuzzy Emerging Patterns. Cognitive Computation, 11, 400-417. https://doi.org/10.1007/s12559-018-9612-7 (Original work published 2019)
2018
Fernández Hilario, A. L. . ., Carmona, C. J. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2018). A Pareto Based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets. Proc. Of the XVIII Conferencia De La Asociación Española Para La Inteligencia Artificial (XVIII CAEPIA), 1316-1317.
Carmona, C. J. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2018). A Unifying Analysis for the Supervised Descriptive Rule Discovery via the Weighted Relative Accuracy. Knowledge-Based Systems, 139, 89-100. https://doi.org/10.1016/j.knosys.2017.10.015
García-Vico, Ángel M. ., Carmona, C. J. ., Martín, D. ., García-Borroto, M. ., & del Jesus Díaz, M. J. . (2018). An Overview of Emerging Pattern Mining in Supervised Descriptive Rule Discovery: Taxonomy, Empirical Study, Trends and Prospects. WIREs Data Mining and Knowledge Discovery, 8. https://doi.org/10.1002/widm.1231