Publicaciones en las que colabora con PEDRO GONZÁLEZ GARCÍA (36)

2024

  1. SDRDPy: An application to graphically visualize the knowledge obtained with supervised descriptive rule algorithms

    SoftwareX, Vol. 28

2023

  1. A Multiclustering Evolutionary Hyperrectangle-Based Algorithm

    International Journal of Computational Intelligence Systems, Vol. 16, Núm. 1

  2. A distributed evolutionary fuzzy system-based method for the fusion of descriptive emerging patterns in data streams

    Information Fusion, Vol. 91, pp. 412-423

  3. An Evolutionary Fuzzy System for Multiclustering in Data Streaming

    Procedia Computer Science

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

    Progress in Artificial Intelligence, Vol. 12, Núm. 1, pp. 33-44

2022

  1. A Case of Study with the Clustering R Library to Measure the Quality of Cluster Algorithms

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

2021

  1. A Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns

    Advances in Intelligent Systems and Computing

  2. A Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns

    15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020): Burgos, Spain ; September 2020

  3. A cellular-based evolutionary approach for the extraction of emerging patterns in massive data streams

    Expert Systems with Applications, Vol. 183

2020

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

    Neurocomputing, Vol. 415, pp. 60-73

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

    IEEE Transactions on Fuzzy Systems, Vol. 28, Núm. 12, pp. 3193-3203

2019

  1. A Big Data Approach for the Extraction of Fuzzy Emerging Patterns

    Cognitive Computation, Vol. 11, Núm. 3, pp. 400-417

2018

  1. Improvement of subgroup descriptions in noisy data by detecting exceptions

    Progress in Artificial Intelligence, Vol. 7, Núm. 1, pp. 55-64

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

    IEEE Transactions on Fuzzy Systems, Vol. 26, Núm. 5, pp. 2861-2872

  3. MOEA-EFEP: un algoritmo evolutivo multi-objetivo para la extracción de patrones emergentes difusos

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

  4. Modelos descriptivos basados en aprendizaje supervisado para el tratamiento de grandes vol´umenes de datos y flujos continuos de datos

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

  5. Una primera aproximación para la extracción de patrones emergentes en flujos continuos de datos

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

2017

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

    IEEE International Conference on Fuzzy Systems

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

    Knowledge-Based Systems, Vol. 117, pp. 70-78

2016

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

    R Journal, Vol. 8, Núm. 2, pp. 307-323