PEDRO
GONZÁLEZ GARCÍA
TITULAR DE UNIVERSIDAD
MARÍA JOSÉ DEL
JESÚS DÍAZ
CATEDRATICO DE UNIVERSIDAD
Publicaciones en las que colabora con MARÍA JOSÉ DEL JESÚS DÍAZ (39)
2023
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A distributed evolutionary fuzzy system-based method for the fusion of descriptive emerging patterns in data streams
Information Fusion, Vol. 91, pp. 412-423
2021
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A Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns
Advances in Intelligent Systems and Computing
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A Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns
15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020): Burgos, Spain ; September 2020
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A cellular-based evolutionary approach for the extraction of emerging patterns in massive data streams
Expert Systems with Applications, Vol. 183
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Implementation of Data Stream Classification Neural Network Models Over Big Data Platforms
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2020
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An analysis of technological frameworks for data streams
Progress in Artificial Intelligence, Vol. 9, Núm. 3, pp. 239-261
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FEPDS: A Proposal for the Extraction of Fuzzy Emerging Patterns in Data Streams
IEEE Transactions on Fuzzy Systems, Vol. 28, Núm. 12, pp. 3193-3203
2019
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A Big Data Approach for the Extraction of Fuzzy Emerging Patterns
Cognitive Computation, Vol. 11, Núm. 3, pp. 400-417
2018
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Análisis preliminar de marcos tecnológicos en data stream
XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España
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Improvement of subgroup descriptions in noisy data by detecting exceptions
Progress in Artificial Intelligence, Vol. 7, Núm. 1, pp. 55-64
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MOEA-EFEP: Multi-Objective Evolutionary Algorithm for Extracting Fuzzy Emerging Patterns
IEEE Transactions on Fuzzy Systems, Vol. 26, Núm. 5, pp. 2861-2872
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MOEA-EFEP: un algoritmo evolutivo multi-objetivo para la extracción de patrones emergentes difusos
XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España
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Una primera aproximación para la extracción de patrones emergentes en flujos continuos de datos
XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España
2017
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A first approach to handle fuzzy emerging patterns mining on big data problems: The EvAEFP-spark algorithm
IEEE International Conference on Fuzzy Systems
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MEFASD-BD: Multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments - A MapReduce solution
Knowledge-Based Systems, Vol. 117, pp. 70-78
2016
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Subgroup discovery with evolutionary fuzzy systems in r: The SDEFSR package
R Journal, Vol. 8, Núm. 2, pp. 307-323
2015
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A fuzzy genetic programming-based algorithm for subgroup discovery and the application to one problem of pathogenesis of acute sore throat conditions in humans
Information Sciences, Vol. 298, pp. 180-197
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FuGePSD: Fuzzy Genetic Programming-based algorithm for Subgroup Discovery
Proceedings of the 2015 conference of the international fuzzy systems association and the european society for fuzzy logic and technology
2014
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Overview on evolutionary subgroup discovery: Analysis of the suitability and potential of the search performed by evolutionary algorithms
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 4, Núm. 2, pp. 87-103
2013
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An evolutionary fuzzy system for the detection of exceptions in subgroup discovery
Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013