Publicacións nas que colabora con María José Martín Bautista (13)

2025

  1. An AI knowledge-based system for police assistance in crime investigation

    Expert Systems, Vol. 42, Núm. 1

  2. Designing a Novel Fuzzy Association Rule Mining Algorithm for Federated Environments

    Lecture Notes in Networks and Systems, pp. 131-142

  3. Designing a Novel Fuzzy Association Rule Mining Algorithm for Federated Environments

    Lecture Notes in Networks and Systems

  4. Simulafed: an enhanced federated simulated environment for privacy and security in health

    Computing, Vol. 107, Núm. 1

  5. Unveiling Hidden Patterns in Clinical Databases: A Novel Approach Using Level-by-Level Association Rule Mining

    Lecture Notes in Networks and Systems, pp. 143-154

  6. Unveiling Hidden Patterns in Clinical Databases: A Novel Approach Using Level-by-Level Association Rule Mining

    Lecture Notes in Networks and Systems

2024

  1. A Flexible Big Data System for Credibility-Based Filtering of Social Media Information According to Expertise

    International Journal of Computational Intelligence Systems, Vol. 17, Núm. 1

  2. New Spark solutions for distributed frequent itemset and association rule mining algorithms

    Cluster Computing, Vol. 27, Núm. 2, pp. 1217-1234

2008

  1. Using association rules to mine for strong approximate dependencies

    Data Mining and Knowledge Discovery, Vol. 16, Núm. 3, pp. 313-348

2006

  1. Helping users in web information retrieval via fuzzy association rules

    Studies in Fuzziness and Soft Computing, Vol. 197, pp. 221-237

2004

  1. Mining web documents to find additional query terms using fuzzy association rules

    Fuzzy Sets and Systems, Vol. 148, Núm. 1, pp. 85-104

2003

  1. Building topic profiles based on expert profile aggregation

    Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

2002

  1. Association rule extraction for text mining

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