Publicaciones en las que colabora con JULIAN LUENGO MARTIN (45)

2016

  1. A first study on the use of boosting for class noise reparation

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

  2. Evaluating the classifier behavior with noisy data considering performance and robustness: The Equalized Loss of Accuracy measure

    Neurocomputing, Vol. 176, pp. 26-35

  3. 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

  4. INFFC: An iterative class noise filter based on the fusion of classifiers with noise sensitivity control

    Information Fusion, Vol. 27, pp. 19-32

  5. Procesos de privatización en las instituciones educativas: Recontextualizaciones, adopciones y agendas globales

    Globalización y organizaciones educativas: libro de simposios

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

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

  7. 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. A first approach in the class noise filtering approaches for fuzzy subgroup discovery

    Advances in Intelligent Systems and Computing

  3. An automatic extraction method of the domains of competence for learning classifiers using data complexity measures

    Knowledge and Information Systems, Vol. 42, Núm. 1, pp. 147-180

  4. Data Preprocessing in Data Mining

    Intelligent Systems Reference Library, Vol. 72

  5. Data preparation basic models

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

  6. Data reduction

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

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

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

  8. Dealing with missing values

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

  9. Dealing with noisy data

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

  10. Discretization

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

  11. Feature selection

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

  12. Instance selection

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

  13. Introduction

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