Pedro González

Orcid: 0000-0002-6733-3868

Affiliations:
  • University of Jaén, Department of Computer Science, Spain


According to our database1, Pedro González authored at least 37 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A Multiclustering Evolutionary Hyperrectangle-Based Algorithm.
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
FEPDS: A Proposal for the Extraction of Fuzzy Emerging Patterns in Data Streams.
IEEE Trans. Fuzzy Syst., 2020

An analysis of technological frameworks for data streams.
Prog. Artif. Intell., 2020

E2PAMEA: A fast evolutionary algorithm for extracting fuzzy emerging patterns in big data environments.
Neurocomputing, 2020

A Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns.
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020

2019
A Big Data Approach for the Extraction of Fuzzy Emerging Patterns.
Cogn. Comput., 2019

2018
MOEA-EFEP: Multi-Objective Evolutionary Algorithm for Extracting Fuzzy Emerging Patterns.
IEEE Trans. Fuzzy Syst., 2018

Improvement of subgroup descriptions in noisy data by detecting exceptions.
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
Subgroup Discovery with Evolutionary Fuzzy Systems in R: The SDEFSR Package.
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

An evolutionary fuzzy system for the detection of exceptions in subgroup discovery.
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
On the discovery of association rules by means of evolutionary algorithms.
WIREs Data Mining Knowl. Discov., 2011

Evolutionary fuzzy rule extraction for subgroup discovery in a psychiatric emergency department.
Soft Comput., 2011

An overview on subgroup discovery: foundations and applications.
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
Subgroup Discovery with Linguistic Rules.
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

Multiobjective Genetic Algorithm for Extracting Subgroup Discovery Fuzzy Rules.
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
Evolutionary Induction of Descriptive Rules in a Market Problem.
Proceedings of the Intelligent Data Mining: Techniques and Applications, 2005


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