Association Rule Mining Bibliography

Journal articles

  1. W. Lin, J. Su and M. Tseng. Updating generalized association rules with evolving fuzzy taxonomies. Soft Computing, Volume 16, Issue 7 (2012), Page 1109-1118.
  2. C-A. Wu, W. Lin, C. Jiang and C-C. Wu. Toward intelligent data warehouse mining: An ontology-integrated approach for multi-dimensional association mining. Expert Systems with Applications, Volume 38, Issue 9 (2011), Page 11011-11023.
  3. M. Tseng, W. Lin and R. Jeng. Updating generalized association rules with evolving taxonomies. Applied Intelligence, Volume 29, Issue 3 (2008), Page 306-320.
  4. M. Tseng, W. Lin and R. Jeng. Incremental maintenance of generalized association rules under taxonomy evolution. Journal of Information Science, Volume 34, Issue 2 (2008), Page 174-195.
  5. M. Tseng and W. Lin. Efficient mining of generalized association rules with non-uniform minimum support. Data and Knowledge Engineering, Volume 62, Issue 1 (2007), Page 41-64.
  6. W. Lin, M. Tseng. Automated support specification for efficient mining of interesting association rules. Journal of Information Science, Volume 32, Issue 3 (2006), Page 238-250.
  7. Y. Lee, T. Hong and W. Lin. Mining association rules with multiple minimum supports using maximum constraints. International Journal of Approximate Reasoning, Volume 40, Issue 1-2 (2005), Page 44-54.
  8. M. Tseng and W. Lin. Maintenance of generalized association rules with multiple minimum supports. Intelligent Data Analysis, Volume 8, Issue 4 (2004), Page 417-436.

Conference contributions

  1. W. Lin and Y-C. Chen. EMIA: A new efficient algorithm for indirect associations mining, Proceedings of the Proceedings of the 2011 IEEE International Conference on Granular Computing, GrC-2011, Kaohsiung, Taiwan, pag: 404-409, ISBN 978-1-4577-0372-0.
  2. W. Lin, Y. Wei and C. Chen. A Generic Approach for Mining Indirect Association Rules in Data Streams, Proceedings of the 24th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2011, Syracuse, NY, USA, pag: 95-104, ISBN 978-3-642-21821-7.
  3. C-A. Wu, W. Lin, C. Jiang and C-C. Wu. Favorable support threshold recommendation for multidimensional association mining using user preference ontology, Proceedings of the Proceedings of the 2009 IEEE International Conference on Granular Computing, GrC-2009, Lushan Mountain, Nanchang, China, pag: 586-591.
  4. C-A. Wu, W. Lin and C-C. Wu. Facilitating Active Multidimensional Association Mining with User Preference Ontology, Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology - Workshops, Milan, Italy, pag: 437-440, ISBN 978-0-7695-3801-3.
  5. M. Tseng and W. Lin. Incremental Mining of Ontological Association Rules in Evolving Environments, Proceedings of the 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Tainan, Taiwan, pag: 142-151, ISBN 978-3-642-02567-9.
  6. C-A. Wu, W. Lin and C-C. Wu. Ontology-Assisted Query Formulation in Multidimensional Association Rule Mining, Proceedings of the 2007 IEEE International Conference on Granular Computing, GrC 2007, San Jose, California, USA, pag: 358-361.
  7. M. Tseng, W. Lin and R. Jeng. Maintenance of Generalized Association Rules Under Transaction Update and Taxonomy Evolution, Proceedings of the 7th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2005, Copenhagen, Denmark, pag: 336-345, ISBN 3-540-28558-X.
  8. M. Tseng, W. Lin and R. Jeng. Efficient Remining of Generalized Association Rules Under Multiple Minimum Support Refinement, Proceedings of the 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005, Melbourne, Australia, pag: 1338-1344, ISBN 3-540-28896-1.
  9. W. Lin, M. Tseng and M. Wang. OLAM Cube Selection in On-Line Multidimensional Association Rules Mining System, Proceedings of the 8th Internation Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2004, Wellington, New Zealand, pag: 1276-1282, ISBN 3-540-23206-0.
  10. Y. Lee, T. Hong and W. Lin. Mining Fuzzy Association Rules with Multiple Minimum Supports Using Maximum Constraints, Proceedings of the IEEE Internation Conference on Systems, Man and Cybernetics, SMC 2004, The Hague, The Netherlands, pag: 3140-3145.
  11. S-L. Wang, M. Wang, W. Lin and T. Hong Adjustable discovery of adaptive-support association rules for collaborative recommendation systems, Proceedings of the IEEE Internation Conference on Systems, Man and Cybernetics, SMC 2004, The Hague, The Netherlands, pag: 3250-3254.
  12. S-L. Wang, M. Wang, W. Lin and T. Hong Efficient generation of Adaptive-Support Association Rules, Proceedings of the IEEE Internation Conference on Systems, Man and Cybernetics, SMC 2003, Washington, DC, USA, pag: 894-899.
  13. W. Lin, M. Tseng and J. Su A Confidence-Lift Support Specification for Interesting Associations Mining, Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2002, Taipei, Taiwan, pag: 148-158, ISBN 3-540-43704-5.
  14. M. Tseng and W. Lin. Mining Generalized Association Rules with Multiple Minimum Supports, Proceedings of the 3rd International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2001, Munich, Germany, pag: 11-20, ISBN 3-540-42553-5.