Pedro González

37 papers A* 1B 3Misc 2Journal 23Unranked 6
YearRankTypeTitle / Venue / Authors
2024 J jnl
SDRDPy: An application to graphically visualize the knowledge obtained with supervised descriptive rule algorithms.
SoftwareX
María Asunción Padilla-Rascón, Pedro González, Cristóbal J. Carmona
2023 J jnl
A Multiclustering Evolutionary Hyperrectangle-Based Algorithm.
Int. J. Comput. Intell. Syst.
Luis Alfonso Pérez Martos, Ángel Miguel García-Vico, Pedro González, Cristóbal José Carmona
2023 J jnl
A distributed evolutionary fuzzy system-based method for the fusion of descriptive emerging patterns in data streams.
Inf. Fusion
Ángel Miguel García-Vico, Cristóbal J. Carmona, Pedro González, María José del Jesus
2023 J jnl
Clustering: an R library to facilitate the analysis and comparison of cluster algorithms.
Prog. Artif. Intell.
Luis Alfonso Pérez Martos, Ángel Miguel García-Vico, Pedro González, Cristóbal J. Carmona
2022 Misc conf
A Case of Study with the Clustering R Library to Measure the Quality of Cluster Algorithms.
HAIS
Luis Alfonso Pérez Martos, Ángel Miguel García-Vico, Pedro González, Cristóbal José Carmona
2021 J jnl
A cellular-based evolutionary approach for the extraction of emerging patterns in massive data streams.
Expert Syst. Appl.
Ángel Miguel García-Vico, Cristóbal J. Carmona, Pedro González, María José del Jesus
2021 — conf
Implementation of Data Stream Classification Neural Network Models Over Big Data Platforms.
IWANN (2)
Fernando Puentes-Marchal, María Dolores Pérez-Godoy, Pedro González, María José del Jesus
2020 — conf
A Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns.
SOCO
Ángel Miguel García-Vico, Cristóbal José Carmona, Pedro González, María José del Jesus
2020 J jnl
An analysis of technological frameworks for data streams.
Prog. Artif. Intell.
Fernando Puentes, María Dolores Pérez-Godoy, Pedro González, María José del Jesus
2020 J jnl
E2PAMEA: A fast evolutionary algorithm for extracting fuzzy emerging patterns in big data environments.
Neurocomputing
Ángel Miguel García-Vico, Francisco Charte, Pedro González, David A. Elizondo, Cristóbal José Carmona
2020 J jnl
FEPDS: A Proposal for the Extraction of Fuzzy Emerging Patterns in Data Streams.
IEEE Trans. Fuzzy Syst.
Ángel Miguel García-Vico, Cristóbal J. Carmona, Pedro González, Huseyin Seker, María José del Jesus
2019 J jnl
A Big Data Approach for the Extraction of Fuzzy Emerging Patterns.
Cogn. Comput.
Ángel Miguel García-Vico, Pedro González, Cristóbal José Carmona, María José del Jesus
2018 J jnl
MOEA-EFEP: Multi-Objective Evolutionary Algorithm for Extracting Fuzzy Emerging Patterns.
IEEE Trans. Fuzzy Syst.
Ángel Miguel García-Vico, Cristóbal J. Carmona, Pedro González, María José del Jesus
2017 B conf
A first approach to handle fuzzy emerging patterns mining on big data problems: The EvAEFP-spark algorithm.
FUZZ-IEEE
Ángel Miguel García-Vico, Pedro González, María José del Jesus, Cristóbal J. Carmona
2017 J jnl
MEFASD-BD: Multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments - A MapReduce solution.
Knowl. Based Syst.
Francisco Javier Pulgar, Antonio Jesús Rivera Rivas, María Dolores Pérez-Godoy, Pedro González, Cristóbal J. Carmona, María José del Jesus
2016 J jnl
Subgroup Discovery with Evolutionary Fuzzy Systems in R: The SDEFSR Package.
R J.
Ángel M. García, Francisco Charte, Pedro González, Cristóbal J. Carmona, María José del Jesus
2015 J jnl
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.
Cristóbal J. Carmona, Victor Ruiz-Rodado, María José del Jesus, A. Weber, Martin Grootveld, Pedro González, David A. Elizondo
2015 — conf
FuGePSD: Fuzzy Genetic Programming-based algorithm for Subgroup Discovery.
IFSA-EUSFLAT
Cristóbal J. Carmona, Pedro González, María José del Jesus
2014 J jnl
Overview on evolutionary subgroup discovery: analysis of the suitability and potential of the search performed by evolutionary algorithms.
WIREs Data Mining Knowl. Discov.
Cristóbal J. Carmona, Pedro González, María José del Jesus, Francisco Herrera
2013 — conf
An evolutionary fuzzy system for the detection of exceptions in subgroup discovery.
IFSA/NAFIPS
Cristóbal J. Carmona, Pedro González, María José del Jesus, B. García-Domingo, Jorge Aguilera
2013 J jnl
MEFES: An evolutionary proposal for the detection of exceptions in subgroup discovery. An application to Concentrating Photovoltaic Technology.
Knowl. Based Syst.
Cristóbal J. Carmona, Pedro González, B. García-Domingo, María José del Jesus, Jorge Aguilera
2012 B conf
A preliminary study on missing data imputation in evolutionary fuzzy systems of subgroup discovery.
FUZZ-IEEE
Cristóbal J. Carmona, Julián Luengo, Pedro González, María José del Jesus
2012 J jnl
An analysis on the use of pre-processing methods in evolutionary fuzzy systems for subgroup discovery.
Expert Syst. Appl.
Cristóbal J. Carmona, Julián Luengo, Pedro González, María José del Jesus
2012 J jnl
Genetic lateral tuning for subgroup discovery with fuzzy rules using the algorithm NMEEF-SD.
Int. J. Comput. Intell. Syst.
Cristóbal J. Carmona, Pedro González, María José Gacto, María José del Jesus
2011 J jnl
An overview on subgroup discovery: foundations and applications.
Knowl. Inf. Syst.
Francisco Herrera, Cristóbal J. Carmona, Pedro González, María José del Jesus
2011 — conf
Analysis of the impact of using different diversity functions for the subgroup discovery algorithm NMEEF-SD.
GEFS
Cristóbal J. Carmona, Pedro González, María José del Jesus, Francisco Herrera
2011 J jnl
Evolutionary fuzzy rule extraction for subgroup discovery in a psychiatric emergency department.
Soft Comput.
Cristóbal J. Carmona, Pedro González, María José del Jesus, Mercedes Navío-Acosta, L. Jiménez-Trevino
2011 J jnl
On the discovery of association rules by means of evolutionary algorithms.
WIREs Data Mining Knowl. Discov.
María José del Jesus, José A. Gámez, Pedro González, José M. Puerta
2010 J jnl
NMEEF-SD: Non-dominated Multiobjective Evolutionary Algorithm for Extracting Fuzzy Rules in Subgroup Discovery.
IEEE Trans. Fuzzy Syst.
Cristóbal J. Carmona, Pedro González, María José del Jesus, Francisco Herrera
2009 B conf
An analysis of evolutionary algorithms with different types of fuzzy rules in subgroup discovery.
FUZZ-IEEE
Cristóbal J. Carmona, Pedro González, María José del Jesus, Francisco Herrera
2009 J jnl
Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data.
Expert Syst. Appl.
Cristóbal Romero, Pedro González, Sebastián Ventura, María José del Jesus, Francisco Herrera
2009 Misc conf
Non-dominated Multi-objective Evolutionary Algorithm Based on Fuzzy Rules Extraction for Subgroup Discovery.
HAIS
Cristóbal J. Carmona, Pedro González, María José del Jesus, Francisco Herrera
2008 — ch.
Subgroup Discovery with Linguistic Rules.
Fuzzy Sets and Their Extensions: Representation, Aggregation and Models
María José del Jesus, Pedro González, Francisco Herrera
2007 J jnl
Evolutionary Fuzzy Rule Induction Process for Subgroup Discovery: A Case Study in Marketing.
IEEE Trans. Fuzzy Syst.
María José del Jesus, Pedro González, Francisco Herrera, Mikel Mesonero
2007 — conf
Multiobjective Genetic Algorithm for Extracting Subgroup Discovery Fuzzy Rules.
MCDM
María José del Jesus, Pedro González, Francisco Herrera
2006 A* conf
Multiobjective Evolutionary Induction of Subgroup Discovery Fuzzy Rules: A Case Study in Marketing.
ICDM
Francisco José Berlanga, María José del Jesus, Pedro González, Francisco Herrera, Mikel Mesonero
2005 — ch.
Evolutionary Induction of Descriptive Rules in a Market Problem.
Intelligent Data Mining
María José del Jesus, Pedro González, Francisco Herrera, Mikel Mesonero