Mining associations by pattern structure in large relational tables

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2002, Pages 482-489

  Wang, Haixun ^a   Perng, Chang Shing ^a   Ma, Sheng ^a   Yu, Philip S ^a  

^a IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 19744375724     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. R. Agrawal, T. Imielinski, and A. Swami. Mining association rules between sets of items in large databases. In VLDB, pages 207-216, 1993.
2. R. Agrawal and R. Srikant. Fast algorithms for mining association rules. In VLDB, 1994.
3. R. Agrawal and R. Srikant. Mining sequential patterns. In ICDE, 1995.
4. Surajit Chaudhuri. Data mining and database systems: Where is the intersection? In Bulletin of the IEEE Computer Society Technical Committee on Data Engineering, 1998.
5. J. Han and Y. Fu. Discovery of multiple-level association rules from large databases. In VLDB, 1995.
6. R. Ng, L. Lakshmanan, J. Han, and A. Pang. Exploratory mining and pruning optimizations of constrained associations rules. In SIGMOD, pages 13-24, 1998.
7. R. Srikant and R. Agrawal. Mining generalized association rules. In VLDB, pages 407-419, 1995.
8. R. Srikant and R. Agrawal. Mining sequential patterns: generalization and performance improvements. In EDBT, 1996.
9. R. Srikant, Q. Vu, and R. Agrawal. Mining association rules with item constraints. In SIGKDD, pages 67-93, 1997.
10. Ramakrishnan Srikant and Rakesh Agrawal. Mining generalized association rules. In VLDB, Zurich, Switzerland, September 1995.
11. Haixun Wang, Chang-Shing Perng, Sheng Ma, and Philip S. Yu. Mining associations by pattern structure in large relational tables. Technical report, IBM T. J. Watson, 2002.