Publicaciones en colaboración con investigadores/as 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