Subdirector UJA

Pedro González García

Dirección del Instituto

Universidad de Jaén

Publicaciones

A Multiclustering Evolutionary Hyperrectangle-Based Algorithm

International Journal of Computational Intelligence Systems

Clustering: an R library to facilitate the analysis and comparison of cluster algorithms

Progress in Artificial Intelligence

A Case of Study with the Clustering R Library to Measure the Quality of Cluster Algorithms
A cellular-based evolutionary approach for the extraction of emerging patterns in massive data streams
AUTHORS: García-Vico, Á.M.; Carmona, C.; González, P.; del Jesus, M.J.

Expert Systems with Applications

A Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns

Advances in Intelligent Systems and Computing

Implementation of Data Stream Classification Neural Network Models Over Big Data Platforms
AUTHORS: Fernando Puentes-Marchal; María Dolores Pérez-Godoy; Pedro González; María José Del Jesus

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

An analysis of technological frameworks for data streams
AUTHORS: Puentes, F.; Pérez-Godoy, M.D.; González, P.; Del Jesus, M.J.

Progress in Artificial Intelligence

E2PAMEA: A fast evolutionary algorithm for extracting fuzzy emerging patterns in big data environments

Neurocomputing

FEPDS: A Proposal for the Extraction of Fuzzy Emerging Patterns in Data Streams

IEEE Transactions on Fuzzy Systems

A Big Data Approach for the Extraction of Fuzzy Emerging Patterns

Cognitive Computation

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

Big Data Analytics

Improvement of subgroup descriptions in noisy data by detecting exceptions

Progress in Artificial Intelligence

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

IEEE Transaction on Fuzzy Systems

A first approach to handle fuzzy emerging patterns mining on big data problems: The EvAEFP-spark algorithm

IEEE International Conference on Fuzzy Systems

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

Knowledge-Based Systems

Subgroup discovery with evolutionary fuzzy systems in r: The SDEFSR package

R Journal

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

FuGePSD: Fuzzy Genetic Programming-based algorithm for Subgroup Discovery

PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON MODELLING, SIMULATION AND APPLIED MATHEMATICS (MSAM2017)

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

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

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

Knowledge-Based Systems

A preliminary study on missing data imputation in evolutionary fuzzy systems of subgroup discovery
AUTHORS: Carmona, C. J.; Luengo, J.; Gonzalez, P.; del Jesus, M. J.

Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on

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

Expert Systems With Applications

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

International Journal of Computational Intelligence Systems

An overview on subgroup discovery: foundations and applications
AUTHORS: Gonzalez, Pedro, Herrera, Franciso, Jose Carmona, Cristobal, Jose del Jesus, Maria

Knowledge and Information Systems

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

IEEE SSCI 2011: Symposium Series on Computational Intelligence - GEFS 2011: 2011 IEEE 5th International Workshop on Genetic and Evolutionary Fuzzy Systems

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

Soft Computing

On the discovery of association rules by means of evolutionary algorithms
AUTHORS: del Jesus, Maria J.; Gamez, Jose A.; Gonzalez, Pedro; Puerta, Jose M.

Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Subgroup discovery in an e-learning usage study based on Moodle

Proceedings of the 2011 7th International Conference on Next Generation Web Services Practices, NWeSP 2011

Evolutionary algorithms for subgroup discovery applied to e-learning data

2010 IEEE Education Engineering Conference, EDUCON 2010

NMEEF-SD: Non-dominated Multiobjective Evolutionary Algorithm for Extracting Fuzzy Rules in Subgroup Discovery
AUTHORS: Gonzalez, Pedro, Herrera, Francisco, Jose Carmona, Cristobal, Jose del Jesus, Maria

Ieee Transactions on Fuzzy Systems

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

2009 Ieee International Conference on Fuzzy Systems, Vols 1-3

Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data
AUTHORS: Gonzalez, P, Herrera, F, Romero, C, Ventura, S, del Jesus, MJ

Expert Systems With Applications

Subgroup Discovery with Linguistic Rules
AUTHORS: Del Jesus, M.J.; González, P.; Herrera, F.

Fuzzy Sets and Their Extensions: Representation, Aggregation and Models

Evolutionary fuzzy rule induction process for subgroup discovery: A case study in marketing
AUTHORS: Gonzalez, P; Herrera, F; Mesonero, M; del Jesus, MJ

Ieee Transactions on Fuzzy Systems

Multiobjective genetic algorithm for extracting subgroup discovery fuzzy rules
AUTHORS: del Jesus, MJ; Gonzalez, P; Herrera, F

2007 Ieee Symposium on Computational Intelligence in Multi-Criteria Decision Making

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

6th Industrial Conference on Data Mining (ICDM 2006)