Objective and subjective algorithms for grouping association rules

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2003, Pages 477-480

  An, Aijun ^a   Khan, Shakil ^a   Huang, Xiangji ^a  

^a YORK UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 62449227500     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Adomavicius, G. and Tuzhilin, A. "Expert-driven validation of rule-based user models in personalization applications", Data Mining and Knowledge Discovery, vol.5, nos.1/2, January/April 2001.
2. Huang, X., An, A., Cercone, N and Promhouse, G. "Discovery of Interesting Association Rules from Livelink Web Log data", Proc. of the IEEE Int. Conf. on Data Mining (ICDM'02), Maebashi City, Japan, 2002.
3. Lent, B., Swami, A.N., and Widom, J. "Clustering Association Rules", Proc. oflCDE, 1997.
4. Sahar, S., "Interestingness via What is not Interesting", Proceedings of KDD '99, 1999, pp.332-336.
5. Toivonen, H., Klemettinen, M., Ronkaincn, R, Hatonen, K. and Mannila, H. "Pruning and grouping discovered association rules", Proc. of KDD'95.
6. Wang, K., Tay, S.H.W and Liu, B. "Interestingness-based interval merger for numeric association rules", Proc. of KDD'98.