Publications en collaboration avec des chercheurs de Universidad de Jaén (22)

2016

  1. The influence of noise on the evolutionary fuzzy systems for subgroup discovery

    Soft Computing, Vol. 20, Núm. 11, pp. 4313-4330

2015

  1. A data mining software package including data preparation and reduction: Keel

    Intelligent Systems Reference Library, Vol. 72, pp. 285-313

  2. Data Preprocessing in Data Mining

    Intelligent Systems Reference Library, Vol. 72

  3. Data preparation basic models

    Intelligent Systems Reference Library, Vol. 72, pp. 39-57

  4. Data reduction

    Intelligent Systems Reference Library, Vol. 72, pp. 147-162

  5. Data sets and proper statistical analysis of data mining techniques

    Intelligent Systems Reference Library, Vol. 72, pp. 19-38

  6. Dealing with missing values

    Intelligent Systems Reference Library, Vol. 72, pp. 59-105

  7. Dealing with noisy data

    Intelligent Systems Reference Library, Vol. 72, pp. 107-145

  8. Discretization

    Intelligent Systems Reference Library, Vol. 72, pp. 245-283

  9. Feature selection

    Intelligent Systems Reference Library, Vol. 72, pp. 163-193

  10. Instance selection

    Intelligent Systems Reference Library, Vol. 72, pp. 195-243

  11. Introduction

    Intelligent Systems Reference Library, Vol. 72, pp. 1-17

2013

  1. A survey of discretization techniques: Taxonomy and empirical analysis in supervised learning

    IEEE Transactions on Knowledge and Data Engineering, Vol. 25, Núm. 4, pp. 734-750

2012

  1. A preliminary study on missing data imputation in evolutionary fuzzy systems of subgroup discovery

    IEEE International Conference on Fuzzy Systems

  2. A preliminary study onselecting the optimal cut points in discretization by evolutionary algorithms

    ICPRAM 2012 - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods

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

    Expert Systems with Applications, Vol. 39, Núm. 13, pp. 11404-11412

  4. On the choice of the best imputation methods for missing values considering three groups of classification methods

    Knowledge and Information Systems, Vol. 32, Núm. 1, pp. 77-108