Association Rule Mining Bibliography

Journal articles

  1. W. Ma, K. Wang, Z-P. Liu. Mining potentially more interesting association rules with fuzzy interest measure. Soft Computing, Volume 15, Issue 6 (2011), Page 1173-1182.
  2. K. Wang, S. Zhou, Q. Yang and J.M.S. Yeung. Mining Customer Value: From Association Rules to Direct Marketing. Data Mining and Knowledge Discovery, Volume 11, Issue 1 (2005), Page 57-79.
  3. Q. Yang, I.T.Y. Li and K. Wang. Building Association-Rule Based Sequential Classifiers for Web-Document Prediction. Data Mining and Knowledge Discovery, Volume 8, Issue 3 (2004), Page 253-273.
  4. K. Wang, Y. He and J. Han. Pushing Support Constraints Into Association Rules Mining. IEEE Transactions on Knowledge and Data Engineering, Volume 15, Issue 3 (2003), Page 642-658.

Conference contributions

  1. K. Wang, J.N.K. Liu and W. Ma. Mining the Most Reliable Association Rules with Composite Items, Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), Hong Kong, China, pag: 749-754, ISBN: 0-7695-2702-7.
  2. K. Wang, S. Zhou, J.M.S. Yeung and Q. Yang. Mining Customer Value: From Association Rules to Direct Marketing., Proceedings of the 19th International Conference on Data Engineering, ICDE 2003, Bangalore, India, pag: 738-740, ISBN: 0-7803-7665-X.
  3. K. Wang, L. Tang, J. Han and J. Liu. Top Down FP-Growth for Association Rule Mining, Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2002, Taipei, Taiwan, pag: 334-340, ISBN: 3-540-43704-5.
  4. E.K.K. Ng, A.W. Fu and K. Wang. Mining Association Rules from Stars, Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), Maebashi City, Japan, pag: 322-329, ISBN: 0-7695-1754-4.
  5. K. Wang and Y. He. User-Defined Association Mining, Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2001, Hong Kong, China, pag: 387-399, ISBN: 3-540-41910-1.
  6. K. Wang, S. Zhou and Y. He. Growing decision trees on support-less association rules, Proceedings of the 6th ACM SIGKDD international conference on Knowledge discovery and data mining, 2000, Boston, MA, USA, pag: 265-269, ISBN: 1-58113-233-6.
  7. B. Liu, W. Hsu, K. Wang and S. Chen. Visually Aided Exploration of Interesting Association Rules, Proceedings of the 3th Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining, PAKDD-99, Beijing, China, pag: 380-389, ISBN: 3-540-65866-1.
  8. K. Wang, S.H.W. Tay and B. Liu. Interestingness-Based Interval Merger for Numeric Association Rules, Proceedings of the 4th International Conference on Knowledge Discovery and Data Mining, KDD-98, New York City, New York, USA, pag: 121-128, ISBN: 1-57735-070-7.