Publicaciones

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2020
A preliminary many objective approach for extracting fuzzy emerging patterns, García-Vico, A.M., Carmona C. J., González P., and del Jesus M. J. , 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020, p.1-8, (2020)
2019
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, Volume 11, Issue 3, p.400 - 417, (2019) PDF icon 2019_Garcia_Cognitive.pdf (1.14 MB)
El perfil de las organizaciones en Twitter: distinción entre operadores de productos ecológicos y no ecológicos, Bernal, E., Fernández-Ucles D., Mozas A., Medina-Viruel M. J., Perez-Martos L. A., García-Vico A.M., and González P. , XXVIII AEDEM International Meeting, Tokyo (Japan), p.680-684, (2019) PDF icon 2019_Bernal_AEDEM.pdf (576.33 KB)
Extracting Emerging Patterns with Change Detection in Time for Data Streams, Carmona, C. J., García-Vico A.M., González P., and del Jesus M. J. , 1st International ‘Alan Turing’ Conference on Decision Support and Recommender Systems (DSRS-Turing 2019), London (United Kingdom), (2019) PDF icon 2019 - DSRS-poster.pdf (545.31 KB)
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) PDF icon 2019-Garcia-BDA.pdf (1.15 MB)
Subgroup Discovery on Multiple Instance Data, Luna, J. M., Carmona C. J., García-Vico A.M., del Jesus M. J., and Ventura S. , Volume 12, Issue 2, p.1602-1612, (2019) PDF icon 2020-Luna-IJCIS.pdf (1.91 MB)
2018
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)
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)
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: 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) PDF icon 2018-Garcia-IEEETFS.pdf (1.66 MB)
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)