Publicaciones en las que colabora con Jesús María Pérez de la Fuente (28)

2024

  1. Driven PCTBagging: Seeking Greater Discriminating Capacity for the Same Level of Interpretability

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

2018

  1. UnPART: PART without the ‘partial’ condition of it

    Information Sciences, Vol. 465, pp. 505-522

2016

  1. BFPART: Best-First PART

    Information Sciences, Vol. 367-368, pp. 927-952

2013

  1. An extensive comparative study of cluster validity indices

    Pattern Recognition, Vol. 46, Núm. 1, pp. 243-256

  2. Applying resampling methods for imbalanced datasets to not so imbalanced datasets

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

  3. The quest for the optimal class distribution: An approach for enhancing the effectiveness of learning via resampling methods for imbalanced data sets

    Progress in Artificial Intelligence, Vol. 2, Núm. 1, pp. 45-63

  4. Web usage and content mining to extract knowledge for modelling the users of the Bidasoa Turismo website and to adapt it

    Expert Systems with Applications, Vol. 40, Núm. 18, pp. 7478-7491

2012

  1. Adaptation of the user navigation scheme using clustering and frequent pattern mining techiques for profiling

    KDIR 2012 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval

  2. Enhancing a web usage mining based tourismwebsite adaptation with content information

    KDIR 2012 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval

  3. Web usage mining for automatic link generation

    Proc. of the 10th Int. Workshop on Modelling, Simulation, Verification and Validation of Enterprise Information Systems, MSVVEIS 2012 and 1st Int. Workshop on , WEBI 2012,in Conj. with ICEIS 2012

2011

  1. C4.5 consolidation process: An alternative to intelligent oversampling methods in class imbalance problems

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

  2. Towards a standard methodology to evaluate internal cluster validity indices

    Pattern Recognition Letters, Vol. 32, Núm. 3, pp. 505-515

2010

  1. Consolidated trees versus bagging when explanation is required

    Computing (Vienna/New York), Vol. 89, Núm. 3-4, pp. 113-145

  2. Obtaining optimal class distribution for decision trees: Comparative analysis of CTC and C4.5

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

  3. SEP/COP: An efficient method to find the best partition in hierarchical clustering based on a new cluster validity index

    Pattern Recognition, Vol. 43, Núm. 10, pp. 3364-3373

2009

  1. SIHC: A stable incremental hierarchical clustering algorithm

    ICEIS 2009 - 11th International Conference on Enterprise Information Systems, Proceedings