Comité Científico

Pedro González es Doctor en Informática por la Universidad de Granada en 2008.

En la actualidad, es profesor Titular de Universidad en la Universidad de Jaén, en el área de Lenguajes y Sistemas Informáticos del Departamento de Informática de la Universidad de Jaén.

Sus líneas de investigación incluyen Descubrimiento de Subgrupos, minería de datos, algoritmos evolutivos, lógica difusa y aprendizaje descriptivo.




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 , 2015 | journal-article DOI: 10.1016/j.ins.2014.11.030 WOSUID: WOS:000349590000011 URL:
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 , 2014 | journal-article DOI: 10.1002/widm.1118
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 | journal-article
MEFES: An evolutionary proposal for the detection of exceptions in subgroup discovery. An application to Concentrating Photovoltaic Technology Knowledge-Based Systems , 2013 | journal-article DOI: 10.1016/j.knosys.2013.08.001
A preliminary study on missing data imputation in evolutionary fuzzy systems of subgroup discovery , 2012 | conference-paper
An analysis on the use of pre-processing methods in evolutionary fuzzy systems for subgroup discovery Expert Systems with Applications , 2012 | journal-article DOI: 10.1016/j.eswa.2012.04.029
Genetic lateral tuning for subgroup discovery with fuzzy rules using the algorithm NMEEF-SD International Journal of Computational Intelligence Systems , 2012 | journal-article DOI: 10.1080/18756891.2012.685323
An overview on subgroup discovery: Foundations and applications Knowledge and Information Systems , 2011 | journal-article DOI: 10.1007/s10115-010-0356-2
Analysis of the impact of using different diversity functions for the subgroup discovery algorithm NMEEF-SD , 2011 | conference-paper
Evolutionary fuzzy rule extraction for subgroup discovery in a psychiatric emergency department Soft Computing , 2011 | journal-article DOI: 10.1007/s00500-010-0670-3
On the discovery of association rules by means of evolutionary algorithms Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery , 2011 | journal-article DOI: 10.1002/widm.18
Subgroup discovery in an e-learning usage study based on Moodle , 2011 | conference-paper
Evolutionary algorithms for subgroup discovery applied to e-learning data , 2010 | conference-paper
NMEEF-SD: Non-dominated Multiobjective Evolutionary Algorithm for Extracting Fuzzy Rules in Subgroup Discovery Ieee Transactions on Fuzzy Systems , 2010 | journal-article DOI: 10.1109/TFUZZ.2010.2060200
An analysis of evolutionary algorithms with different types of fuzzy rules in subgroup discovery 2009 Ieee International Conference on Fuzzy Systems, Vols 1-3 , 2009 | book DOI: 10.1109/FUZZY.2009.5277412
Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data Expert Systems with Applications , 2009 | journal-article DOI: 10.1016/j.eswa.2007.11.026
Non-dominated multi-objective evolutionary algorithm based on fuzzy rules extraction for subgroup discovery , 2009 | other
Subgroup discovery with linguistic rules , 2008 | other
Evolutionary fuzzy rule induction process for subgroup discovery: A case study in marketing Ieee Transactions on Fuzzy Systems , 2007 | journal-article DOI: 10.1109/tfuzz.2006.890662
Multiobjective genetic algorithm for extracting subgroup discovery fuzzy rules 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision Making , 2007 | book DOI: 10.1109/MCDM.2007.369416
Multiobjective evolutionary induction of subgroup discovery fuzzy rules: A case study in marketing 6th Industrial Conference on Data Mining (ICDM 2006) , 2006 | conference-paper