Pedro González
Orcid: 0000-0002-6733-3868Affiliations:
- University of Jaén, Department of Computer Science, Spain
According to our database1,
Pedro González
authored at least 38 papers
between 2005 and 2024.
Collaborative distances:
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Bibliography
2024
MAI-XAI@ECAI, 2024
2023
Int. J. Comput. Intell. Syst., December, 2023
Clustering: an R library to facilitate the analysis and comparison of cluster algorithms.
Prog. Artif. Intell., March, 2023
A distributed evolutionary fuzzy system-based method for the fusion of descriptive emerging patterns in data streams.
Inf. Fusion, 2023
2022
A Case of Study with the Clustering R Library to Measure the Quality of Cluster Algorithms.
Proceedings of the Hybrid Artificial Intelligent Systems - 17th International Conference, 2022
2021
A cellular-based evolutionary approach for the extraction of emerging patterns in massive data streams.
Expert Syst. Appl., 2021
Implementation of Data Stream Classification Neural Network Models Over Big Data Platforms.
Proceedings of the Advances in Computational Intelligence, 2021
2020
IEEE Trans. Fuzzy Syst., 2020
E2PAMEA: A fast evolutionary algorithm for extracting fuzzy emerging patterns in big data environments.
Neurocomputing, 2020
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020
2019
Cogn. Comput., 2019
2018
MOEA-EFEP: Multi-Objective Evolutionary Algorithm for Extracting Fuzzy Emerging Patterns.
IEEE Trans. Fuzzy Syst., 2018
Prog. Artif. Intell., 2018
2017
MEFASD-BD: Multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments - A MapReduce solution.
Knowl. Based Syst., 2017
A first approach to handle fuzzy emerging patterns mining on big data problems: The EvAEFP-spark algorithm.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
2016
R J., 2016
2015
A fuzzy genetic programming-based algorithm for subgroup discovery and the application to one problem of pathogenesis of acute sore throat conditions in humans.
Inf. Sci., 2015
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 (IFSA-EUSFLAT-15), 2015
2014
Overview on evolutionary subgroup discovery: analysis of the suitability and potential of the search performed by evolutionary algorithms.
WIREs Data Mining Knowl. Discov., 2014
2013
MEFES: An evolutionary proposal for the detection of exceptions in subgroup discovery. An application to Concentrating Photovoltaic Technology.
Knowl. Based Syst., 2013
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013
2012
Genetic lateral tuning for subgroup discovery with fuzzy rules using the algorithm NMEEF-SD.
Int. J. Comput. Intell. Syst., 2012
An analysis on the use of pre-processing methods in evolutionary fuzzy systems for subgroup discovery.
Expert Syst. Appl., 2012
A preliminary study on missing data imputation in evolutionary fuzzy systems of subgroup discovery.
Proceedings of the FUZZ-IEEE 2012, 2012
2011
WIREs Data Mining Knowl. Discov., 2011
Evolutionary fuzzy rule extraction for subgroup discovery in a psychiatric emergency department.
Soft Comput., 2011
Knowl. Inf. Syst., 2011
Analysis of the impact of using different diversity functions for the subgroup discovery algorithm NMEEF-SD.
Proceedings of the 5th IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2011
2010
NMEEF-SD: Non-dominated Multiobjective Evolutionary Algorithm for Extracting Fuzzy Rules in Subgroup Discovery.
IEEE Trans. Fuzzy Syst., 2010
2009
Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data.
Expert Syst. Appl., 2009
Non-dominated Multi-objective Evolutionary Algorithm Based on Fuzzy Rules Extraction for Subgroup Discovery.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009
An analysis of evolutionary algorithms with different types of fuzzy rules in subgroup discovery.
Proceedings of the FUZZ-IEEE 2009, 2009
2008
Proceedings of the Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, 2008
2007
Evolutionary Fuzzy Rule Induction Process for Subgroup Discovery: A Case Study in Marketing.
IEEE Trans. Fuzzy Syst., 2007
Proceedings of the IEEE Symposium on Computational Intelligence in Multicriteria Decision Making, 2007
2006
Multiobjective Evolutionary Induction of Subgroup Discovery Fuzzy Rules: A Case Study in Marketing.
Proceedings of the Advances in Data Mining, 2006
2005
Proceedings of the Intelligent Data Mining: Techniques and Applications, 2005