Mining association rules using relative confidence

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

Volumn 3177, Issue , 2004, Pages 306-313

  Do, Tien Dung ^a   Hui, Siu Cheung ^a   Fong, Alvis C M ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 35048829917     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-28651-6_45     Document Type: Article

References (8)

1. R. Agrawal and R. Srikant, Fast algorithms for mining association rules, Proc. of the 20th Int'l Conf. on Very Large Databases (VLDB '94), Santiago, Chile, 487-499, June 1994.
2. S. Brin, R. Motwani and C. Silverstein, Beyond Market Baskets: Generalizing association rules to correlations, Proc. of the ACM SIGMOD Conference, 265-276, 1997.
3. S. Brin, R. Motwani, J. D. Ullman and S. Tsur, Dynamic itemset counting and implication rules for market basket data, Proc. of the ACM SIGMOD Conference, 255-264, May 1997.
4. K. Ahmed, N. El-Makky and Y. Taha, A note on 'Beyond Market Baskets: Generalizing association rules to correlations', ACM SIGKDD Explorations, 1, Issue 2, 46-48, 2000.
5. B. Liu, W. Hsu and Y. Ma, Integrating classification and association rule mining, In Proc of the Fourth International Conference on Knowledge Discovery and Data Mining, 80-86, New York, NY, 1998.
6. UCI Machine Learning Repository, Available online at .
7. B. Liu, Y. Ma and C.K. Wong, Classification Using Association Rules: Weaknesses and Enhancements. In Vipin Kumar, et al, (eds), Data mining for scientific applications, 2001.
8. M.L. Antonie and O. R. Zaïane, Text Document Categorization by Term Association, In Proc. of the IEEE International Conference on Data Mining, 2002.