Association Rule Mining Bibliography

Journal articles

  1. C. Romero, A. Zafra , J.M. Luna and S. Ventura . Association rule mining using genetic programming to provide feedback to instructors from multiple-choice quiz data. Expert Systems, Volume 30, Issue 2 (May 2013), Page 162-172.
  2. C. Romero, J.M. Luna , J.R. Romero and S. Ventura . RM-Tool: A framework for discovering and evaluating association rules. Advances in Engineering Software, 42 (8), pages 566-576, 2011.
  3. E. Garcia , C. Romero, S. Ventura and C. De Castro . A collaborative educational association rule mining tool. The Internet and Higher Education, 14 (2), pages 77-88, 2011.
  4. E. Garcia , C. Romero, S. Ventura and C. De Castro . An architecture for making recommendations to courseware authors using association rule mining and collaborative filtering. User Modeling and User-Adapted Interaction, 19 (1-2), pages 99-132, 2009.

Conference contributions

  1. J.M. Luna , J.R. Romero , C. Romero and S. Ventura . A Genetic Programming Free-Parameter Algorithm for Mining Association Rules, Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, ISDA 2012, pag: 64-69, ISBN: 978-1-4673-5118-8.
  2. C. Romero, J.M. Luna , J.R. Romero and S. Ventura . Mining Rare Association Rules from e-Learning Data, Proceedings of the 3rd International Conference on Educational Data Mining, EDM 2010, pag: 171-180, ISBN: 978-0-615-37529-8.
  3. C. Romero, S. Ventura , E. Vasilyeva and M. Pechenizkiy . Class association rule mining from students' test data, Proceedings of the 3rd International Conference on Educational Data Mining, EDM 2010, pag: 171-180, ISBN: 978-0-615-37529-8.
  4. E. Garcia , C. Romero, S. Ventura and C. De Castro . Evaluating web based instructional models using association rule mining, Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization, UMAP 2009, pag: 16-29, ISBN: 978-364202246-3.
  5. E. Garcia , C. Romero, S. Ventura and T. Calders . Drawbacks and solutions of applying association rule mining in learning management systems, Proceedings of the International Workshop on Applying Data Mining in e-Learning, ADML 2007, pag: 13-22, ISSN: 1613007.