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)
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)
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)
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, (2021)
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., Carmona C. J., Charte Francisco, González P., and Elizondo D. , 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)