Publications

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Conference Paper
A First Approach to Handle Emergining Patterns Mining on Big Data Problems: The EvAEFP-Spark Algorithm, García-Vico, A.M., González P., del Jesus M. J., and Carmona C. J. , Proc. of the 2017 IEEE International Conference on Fuzzy Systems, p.1-6, (2017) PDF icon 2017-Garcia-FuzzIEEE.pdf (383.81 KB)
A Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns, Carmona, C. J., González P., García-Vico A.M., and del Jesus M. J. , 15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020), Volume 1268, p.100, (2020) PDF icon 2020 - SOCO.pdf (184.72 KB)
Análisis de Diferentes Tipos de Reglas en Sistemas Difusos Evolutivos para Minería de Patrones Emergentes, García-Vico, A.M., Carmona C. J., and del Jesus M. J. , Proc. of the XII Spanish Conference on Metaheuristics, Evolutive and Bioinspired Algorithms (MAEB 2017), p.876–885, (2017) PDF icon 2017-Garcia-MAEB2017.pdf (137.29 KB)
Análisis descriptivo mediante aprendizaje supervisado basado en patrones emergentes, Carmona, C. J., Pulgar-Rubio F., García-Vico A.M., González P., and del Jesus M. J. , VII Simposio de Teoría y Aplicaciones de Minería de Datos, p.685-694, (2015) PDF icon 2015 - TAMIDA-a.pdf (251.88 KB)
Analysing Concentrating Photovoltaics Technology through the use of Emerging Pattern Mining, García-Vico, A.M., Montes J., Aguilera J., Carmona C. J., and del Jesus M. J. , Proceedings of the 11th International Conference on Soft Computing Models in Industrial and Environmental Applications, (2016) PDF icon 2016 - SOCO.pdf (803.02 KB)
E2PAMEA: un algoritmo evolutivo para la extraccióni eficiente de patrones emergentes difusos en entornos big data, García-Vico, A.M., Elizondo D., Charte Francisco, González P., and Carmona C. J. , Proceedings of the XIX Conference of the Spanish Association for Artificial Intelligence, (2021) PDF icon 2021 - CAEPIA - E2PM.pdf (173.29 KB)
FEPDS: Una propuesta para la extracción de patrones emergentes difusos en flujos continuos de datos, García-Vico, A.M., Seker H., Carmona C. J., González P., and del Jesus M. J. , Proceedings of the XIX Conference of the Spanish Association for Artificial Intelligence, (2021) PDF icon 2021 - CAEPIA - FEPDS.pdf (173.43 KB)
Impact of the Type of Rule in Fuzzy Emerging Pattern Mining on a Big Data Approach, García-Vico, A.M., González P., Carmona C. J., and del Jesus M. J. , Proc. of the II International symposium on Fuzzy and Rough Sets (ISFUROS 2017), (2017) PDF icon 2017-Garcia-ISFUROS.pdf (317.55 KB)
Minería de Patrones Emergentes: Una oportunidad para la extracción evolutiva de conocimiento, García-Vico, A.M., Carmona C. J., González P., and del Jesus M. J. , XI Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2016), (2016) PDF icon 2016-Garcia-EPMReview.pdf (240.75 KB)
Modelos descriptivos basados en aprendizaje supervisado para el tratamiento de grandes volúmenes de datos y flujos continuos de datos, García-Vico, A.M. , Proc. of the XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (XVIII CAEPIA), p.1402-1407, (2018) PDF icon 2018_Garcia_DocConsCAEPIA.pdf (114.01 KB)
MOEA-EFEP: Un algoritmo evolutivo multi-objetivo para la extracción de patrones emergentes difusos, García-Vico, A.M., Carmona C. J., González P., and del Jesus M. J. , Proc. of the XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (XVIII CAEPIA), p.671-672, (2018) PDF icon 2018_Garcia_MAEB.pdf (67.49 KB)
Una primera aproximación para la extracción de patrones emergentes en flujos continuos de datos, García-Vico, A.M., Carmona C. J., González P., and del Jesus M. J. , Proc. of the XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (XVIII CAEPIA), Mejor trabajo del II Workshop en Big Data y Análisis de Datos Escalable - BigDADE 2018, p.1093-1098, (2018) PDF icon 2018_Garcia_BigDADE.pdf (129.48 KB)
Usando Algoritmos de Descubrimiento de Subgrupos en R: El Paquete SDR, García-Vico, A.M., Charte Francisco, González P., Carmona C. J., and del Jesus M. J. , VII Simposio de Teoría y Aplicaciones de Minería de Datos, p.739-748, (2015) PDF icon 2015 - TAMIDA-b.pdf (335 KB)
Journal Article
A Big Data Approach for the Extraction of Fuzzy Emerging Patterns, García-Vico, A.M., González P., Carmona C. J., and del Jesus M. J. , Cognitive Computation, 01/2019, Volume 11, p.400–417, (2019) PDF icon García-Vico2019_Article_ABigDataApproachForTheExtracti.pdf (1.1 MB)
A cellular-based evolutionary approach for the extraction of emerging patterns in massive data streams, García-Vico, A.M., Carmona C. J., González P., and del Jesus M. J. , Expert Systems with Applications, Volume 183, Issue C, p.115419, (2021) PDF icon 2021-Garcia-ESWA.pdf (1.29 MB)
An Overview of Emerging Pattern Mining in Supervised Descriptive Rule Discovery: Taxonomy, Empirical Study, Trends and Prospects, García-Vico, A.M., Carmona C. J., Martín D., García-Borroto M., and del Jesus M. J. , WIREs Data Mining and Knowledge Discovery, Volume 8, Issue 1, (2018) PDF icon 2018-Garcia-Wiley.pdf (728.97 KB)
E2PAMEA: A fast evolutionary algorithm for extracting fuzzy emerging patterns in big data environments, García-Vico, A.M., Charte Francisco, González P., Elizondo D., and Carmona C. J. , Neurocomputing, 11/2020, Volume 415, p.60-73, (2020) PDF icon 1-s2.0-S0925231220311139-main.pdf (927.85 KB)
FEPDS: A Proposal for the Extraction of Fuzzy Emerging Patterns in Data Streams, García-Vico, A.M., Carmona C. J., González P., Seker H., and del Jesus M. J. , IEEE Transactions on Fuzzy Systems, 12/2020, Volume 28, Issue 12, p. 3193-3203, (2020) PDF icon 09088291.pdf (1.29 MB)
Improvement of subgroup descriptions in noisy data by detecting exceptions, González, P., García-Vico A.M., Carmona C. J., and del Jesus M. J. , Progress in Artificial Intelligence, Volume 7, Issue 1, p.55-64, (2018) PDF icon 2017-Gzlez-PRAI.pdf (371.57 KB)
MOEA-EFEP: Multi-Objective Evolutionary Algorithm for Extracting Fuzzy Emerging Patterns, García-Vico, A.M., Carmona C. J., González P., and del Jesus M. J. , IEEE Transaction on Fuzzy Systems, Volume 26, Issue 5, p.2861-2872, (2018)
Study on the use of different quality measures within a multi-objective evolutionary algorithm approach for emerging pattern mining in big data environments, García-Vico, A.M., González P., Carmona C. J., and del Jesus M. J. , Big Data Analytics, Volume 4, Number 1, p.1, (2019)
Subgroup Discovery on Multiple Instance Data, Luna, J. M., Carmona C. J., García-Vico A.M., del Jesus M. J., and Ventura S. , International Journal of Computational Intelligence Systems, 12/2019, Volume 12, Issue 2, p.1602-1612, (2019) PDF icon 125927212.pdf (1.91 MB)
Subgroup Discovery with Evolutionary Fuzzy Systems in R: the SDEFSR Package, García-Vico, A.M., Charte Francisco, González P., Carmona C. J., and del Jesus M. J. , The R Journal, Volume 8, Issue 2, p.307-323, (2016) PDF icon 2016-Garcia-RJournal.pdf (2.56 MB)
The Influence of Noise on the Evolutionary Fuzzy Systems for Subgroup Discovery, Luengo, J., García-Vico A.M., Pérez-Godoy M.D., and Carmona C. J. , Soft Computing, Volume 20, Issue 11, p.4313-4330, (2016) PDF icon 2016-Luengo-NoiseSD.pdf (972.31 KB)