Publicacions en què col·labora amb Salvador García López (24)

2016

  1. From Big Data to Smart Data with the K-Nearest Neighbours Algorithm

    Proceedings - 2016 IEEE International Conference on Internet of Things; IEEE Green Computing and Communications; IEEE Cyber, Physical, and Social Computing; IEEE Smart Data, iThings-GreenCom-CPSCom-Smart Data 2016

  2. Tutorial on practical tips of the most influential data preprocessing algorithms in data mining

    Knowledge-Based Systems, Vol. 98, pp. 1-29

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

  12. Preface

    Intelligent Systems Reference Library

2014

  1. Addressing imbalanced classification with instance generation techniques: IPADE-ID

    Neurocomputing, Vol. 126, pp. 15-28

  2. Applying subgroup discovery based on evolutionary fuzzy systems for web usage mining in e-commerce: A case study on OrOlivesur.com

    Advances in Intelligent Systems and Computing

  3. On the characterization of noise filters for self-training semi-supervised in nearest neighbor classification

    Neurocomputing, Vol. 132, pp. 30-41

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 onselecting the optimal cut points in discretization by evolutionary algorithms

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

  2. 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