Publicaciones en las que colabora con Saddys Segrera (22)

2016

  1. Web mining based framework for solving usual problems in recommender systems. A case study for movies' recommendation

    Neurocomputing, Vol. 176, pp. 72-80

2013

  1. Movie recommendation framework using associative classification and a domain ontology

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

2012

  1. Making use of associative classifiers in order to alleviate typical drawbacks in recommender systems

    Expert Systems with Applications, Vol. 39, Núm. 1, pp. 1273-1283

2011

  1. Mining semantic data for solving first-rater and cold-start problems in recommender systems

    ACM International Conference Proceeding Series

2009

  1. Mining quantitative class-association rules for software size estimation

    2009 24th International Symposium on Computer and Information Sciences, ISCIS 2009

2008

  1. Comparing the use of traditional and associative classifiers towards personalized recommendations

    20th International Conference on Software Engineering and Knowledge Engineering, SEKE 2008

  2. Framework for the development of a personalised recommender system with integrated web-mining functionalities

    International Journal of Computer Applications in Technology, Vol. 33, Núm. 4, pp. 312-319

  3. Information-theoretic measures for meta-learning

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

  4. Recommender systems: research challenges and methods for facing weaknesses

    Web mining and semantic web

  5. Uncovering the relationships among classes and packages in software evolution

    Web mining and semantic web

2007

  1. A system for efficient portfolio management

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

  2. An attribute binning algorithm for association rule induction

    WSEAS Transactions on Computers, Vol. 6, Núm. 1, pp. 58-64

  3. Classification based on association rules for adaptive web systems

    Advances in Soft Computing

  4. Engineering Approach for an Adaptable Recommender System Using Web Mining

    Integración de aplicaciones web para la web semántica: actas del Taller de Trabajo Zoco'07-CAEPIA

  5. Improving the quality of association rules by processing numerical data

    Actas del IV Taller de Minería de Datos y Aprendizaje: [TAMIDA 2007]

2006

  1. A method for mining quantitative association rules

    SMO'06: Proceedings of the 6th WSEAS International Conference on Simulation, Modelling and Optimization

  2. An experimental comparative study of web mining methods for recommender systems

    DIWED'06: Proceedings of the 6th WSEAS International Conference on Distance Learning and Web Engineering

  3. Application of multiclassifiers in web mining for a recommender system

    WSEAS Transactions on Information Science and Applications, Vol. 3, Núm. 12, pp. 2471-2476

  4. Using multiclassifiers in a case study with sugarcane land evaluation data

    Fifth International Workshop on Practical Applications of Agents and Multiagent Systems (IWPAAMS'06): October 19-20, 2006, E. U. Informática - Segovia (Spain), U. of Valladolid : proceedings

2005

  1. Aplicación de la Minería de Datos en la Evaluación de la Aptitud Física de las Tierras para el Cultivo de la Caña de Azúcar

    Actas del III Taller Nacional de Minería de Datos y Aprendizaje (Thomson-Paraninfo), pp. 349-358