Perfil

González García,   Pedro

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.

ID ORCID: 0000-0002-6733-3868

Publicaciones

implementation of data stream classification neural network models over big data platforms

BOOK_CHAPTER

doi   10.1007/978-3-030-85099-9_22

eid  

2021

a preliminary many objective approach for extracting fuzzy emerging patterns

BOOK

doi   10.1007/978-3-030-57802-2_10

eid   2-s2.0-85091270095

2021

a cellular-based evolutionary approach for the extraction of emerging patterns in massive data streams

JOURNAL_ARTICLE

doi   10.1016/j.eswa.2021.115419

eid   2-s2.0-85108447117

2021

an analysis of technological frameworks for data streams

JOURNAL_ARTICLE

doi   10.1007/s13748-020-00210-6

eid   2-s2.0-85087121536

2020

e2pamea: a fast evolutionary algorithm for extracting fuzzy emerging patterns in big data environments

JOURNAL_ARTICLE

doi   10.1016/j.neucom.2020.07.007

eid   2-s2.0-85089073247

2020

fepds: a proposal for the extraction of fuzzy emerging patterns in data streams

JOURNAL_ARTICLE

doi   10.1109/TFUZZ.2020.2992849

eid   2-s2.0-85097343956

2020

a big data approach for the extraction of fuzzy emerging patterns

JOURNAL_ARTICLE

doi   10.1007/s12559-018-9612-7

eid   2-s2.0-85059583181

2019

Study on the use of different quality measures within a multi-objective evolutionary algorithm approach for emerging pattern mining in big data environments

JOURNAL_ARTICLE

doi   10.1186/s41044-018-0038-8

eid   2058-6345

2019

Improvement of subgroup descriptions in noisy data by detecting exceptions

JOURNAL_ARTICLE

doi   10.1007/s13748-017-0131-7

eid   WOS:000430390100005

2018

MOEA-EFEP: Multi-Objective Evolutionary Algorithm for Extracting Fuzzy Emerging Patterns

JOURNAL_ARTICLE

doi   10.1109/TFUZZ.2018.2814577

eid  

2018

A First Approach to Handle Fuzzy Emerging Patterns Mining on Big Data Problems: The EvAEFP-Spark Algorithm

BOOK_CHAPTER

doi   WOS:000426449100288

eid  

2017

MEFASD-BD: Multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments - A MapReduce solution

JOURNAL_ARTICLE

doi   10.1016/j.knosys.2016.08.021

eid   WOS:000393006900007

2017

Subgroup Discovery with Evolutionary Fuzzy Systems in R: The SDEFSR Package

JOURNAL_ARTICLE

doi   WOS:000395669800020

eid  

2016

A fuzzy genetic programming-based algorithm for subgroup discovery and the application to one problem of pathogenesis of acute sore throat conditions in humans

JOURNAL_ARTICLE

doi   10.1016/j.ins.2014.11.030

eid   WOS:000349590000011

2015

FuGePSD: Fuzzy Genetic Programming-based algorithm for Subgroup Discovery

BOOK_CHAPTER

doi   WOS:000358581100065

eid  

2015

Overview on evolutionary subgroup discovery: analysis of the suitability and potential of the search performed by evolutionary algorithms

JOURNAL_ARTICLE

doi   10.1002/widm.1118

eid   WOS:000331918900019

2014

MEFES: An evolutionary proposal for the detection of exceptions in subgroup discovery. An application to Concentrating Photovoltaic Technology

JOURNAL_ARTICLE

doi   10.1016/j.knosys.2013.08.001

eid   WOS:000327685800008

2013

An evolutionary fuzzy system for the detection of exceptions in subgroup discovery

JOURNAL_ARTICLE

doi   WOS:000333960300014

eid  

2013

A Preliminary Study on Missing Data Imputation in Evolutionary Fuzzy Systems of Subgroup Discovery

JOURNAL_ARTICLE

doi   WOS:000309188200120

eid  

2012

An analysis on the use of pre-processing methods in evolutionary fuzzy systems for subgroup discovery

JOURNAL_ARTICLE

doi   10.1016/j.eswa.2012.04.029

eid   WOS:000305204600008

2012

Genetic lateral tuning for subgroup discovery with fuzzy rules using the algorithm NMEEF-SD

JOURNAL_ARTICLE

doi   10.1080/18756891.2012.685323

eid   WOS:000303573600009

2012

Evolutionary fuzzy rule extraction for subgroup discovery in a psychiatric emergency department

JOURNAL_ARTICLE

doi   10.1007/s00500-010-0670-3

eid   WOS:000297128000009

2011

Analysis of the impact of using different diversity functions for the subgroup discovery algorithm NMEEF-SD

OTHER

doi   10.1109/GEFS.2011.5949498

eid  

2011

On the discovery of association rules by means of evolutionary algorithms

JOURNAL_ARTICLE

doi   10.1002/widm.18

eid   WOS:000304258100003

2011

An overview on subgroup discovery: foundations and applications

JOURNAL_ARTICLE

doi   10.1007/s10115-010-0356-2

eid   WOS:000297131000001

2011

subgroup discovery in an e-learning usage study based on moodle

CONFERENCE_PAPER

doi   10.1109/NWeSP.2011.6088221

eid   2-s2.0-83755206272

2011

NMEEF-SD: Non-dominated Multiobjective Evolutionary Algorithm for Extracting Fuzzy Rules in Subgroup Discovery

JOURNAL_ARTICLE

doi   10.1109/TFUZZ.2010.2060200

eid   WOS:000283370100010

2010

evolutionary algorithms for subgroup discovery applied to e-learning data

CONFERENCE_PAPER

doi   10.1109/EDUCON.2010.5492470

eid   2-s2.0-77954934620

2010

An analysis of evolutionary algorithms with different types of fuzzy rules in subgroup discovery

JOURNAL_ARTICLE

doi   10.1109/FUZZY.2009.5277412

eid   WOS:000274242600298

2009

Non-dominated Multi-objective Evolutionary Algorithm Based on Fuzzy Rules Extraction for Subgroup Discovery

JOURNAL_ARTICLE

doi   WOS:000267794600069

eid  

2009

Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data

JOURNAL_ARTICLE

doi   10.1016/j.eswa.2007.11.026

eid   WOS:000262178000068

2009

Subgroup Discovery with Linguistic Rules

BOOK_CHAPTER

doi   10.1007/978-3-540-73723-0_21

eid  

2008

Multiobjective genetic algorithm for extracting subgroup discovery fuzzy rules

JOURNAL_ARTICLE

doi   10.1109/MCDM.2007.369416

eid   WOS:000248485300009

2007

Evolutionary fuzzy rule induction process for subgroup discovery: A case study in marketing

JOURNAL_ARTICLE

doi   10.1109/TFUZZ.2006.890662

eid   WOS:000248703700005

2007

Multiobjective evolutionary induction of subgroup discovery fuzzy rules: A case study in marketing

JOURNAL_ARTICLE

doi   WOS:000239623700027

eid  

2006