Association rules

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

Volumn 1805, Issue , 2000, Pages 245-256

  Zhang, Tao ^a  

^a Triada Ltd   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ASSOCIATION RULES;

MINING OF ASSOCIATION RULES; PATTERN ANALYSIS;

DATA MINING;

EID: 80052670863     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45571-x_31     Document Type: Conference Paper

References (25)

1. R. Agrawal, T. Imielinski, and A. Swami. 1993a. Mining association rules between sets of items in large databases. In Proceedings of the ACM SIGMOD International Conference on the Management of Data, pages 207-216.
2. R. Agrawal, T. Imielinski, and A. Swami. 1993b. Database mining: a performance perspective. IEEE Transactions on Knowledge and Data Engineering, 5:914-925.
3. R. Agrawal and R. Srikant. 1994. Fast algorithms for mining association rules in large databases. In Proceedings of the 20th International Conference on Very Large Data Bases, pages 487-499.
4. R. Agrawal, A. Arning, T. Bollinger, M. Mehta, J. Shafer, and R. Srikant. 1996a. The Quest Data Mining System. In Proceedings of the Second International Conference on Knowledge Discovery in Databases and Data.
5. R. Agrawal, H. Mannila, R. Srikant, H. Toivonen, and A. I. Verkamo. 1996b. Fast Discovery of Association Rules. In, Fayyad et al (Fayyad et al., 1996), pages 307-328.
6. J. M. Bugajski and J. T. Russo. 1993. US patent No. 5,245,337.
7. J. M. Bugajski and J. T. Russo. 1994. US patent No. 5,293,164.
8. J. M. Bugajski. 1997. US patent No. 5,592,667.
9. A. W. Cheung, J. Han, V. T. Ng, A. Fu, and Y. Fu. 1996. A fast distributed algorithm for mining association rules. In Proceedings of the Fourth International Conference on Parallel and Distributed Information Systems.
10. U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthrusamy. 1996. Advances in Knowledge Discovery and Data Mining. AAAI Press, Menlo Park, CA.
11. J. Han and Y. Fu. 1995. Discovery of multiple-level association rules from large databases. In Proceedings of the 21th International Conference on Very Large Data Bases, pages 420-431.
12. M. Houtsman and A. Swami. 1995. Set-oriented mining of association rules. In Proceedings of the International Conference on Data Engineering, pages 25-34.
13. M. Klemettine, H. Mannila, P. Ronkainen, H. Toivonen, and A. I. Verkamo. 1994. Finding interesting rules from large sets of discovered association rules. In Proceedings of the 3th International Conference on Information and Knowledge Management, pages 401-407.
14. S. D. Lee, D. W. Cheung, and B. Kao. 1998. Is sampling useful in data mining? A case in the maintenance of discovered association rules. Data Mining and Knowledge Discovery, Vol. 2, number 3, pages 233-262.
15. H. Mannila, H. Toivonen, and A. I. Verkamo. 1994. Efficient algorithms for discovering association rules. In Proceedings of the AAAI Workshop on Knowledge Discovery in Databases, pages 144-155.
16. H. Mannila. 1998. Database methods for data mining. Tutorial for 4th International Conference on Knowledge Discovery and Data Mining.
17. R. Meo, G. Psaiia, and S. Ceri. 1998. An extension to SQL for mining association rules. Data Mining and Knowledge Discovery, Vol. 2, number 2, pages 195-224.
18. J. S. Park, M. S. Chen, and P. S. Yu. 1995. An effective hash based algorithm for mining association rules. In Proceedings of the ACM SIGMOD International Conference on the Management of Data, pages 175-186.
19. A. Savasere, E. Omiecinski, and S. Navathe. 1995. An efficient algorithm for mining association rules in large databases. In Proceedings of the 21th International Conference on Very Large Data Bases, pages 432-444.
20. C. Silverstein, S. Brin, and R. Motwani. 1998. Beyond market basket: Generalizing association rules to dependence rules. Data Mining and Knowledge Discovery, Vol. 2, number 1, pages 39-68.
21. R. Srikant and R. Agrawal. 1995. Mining generalized association rules. In Proceedings of the 21th International Conference on Very Large Data Bases, pages 407-419.
22. H. Toivonen. 1996. Sampling large databases for finding association rules. In Proceedings of the 22th International Conference on Very Large Data Bases, pages 134-145.
23. J. Wijsen and R. Meersman. 1998. On the complexity of mining quantitative association rules. Data Mining and Knowledge Discovery, Vol. 2, number 3, pages 263-282.
24. T. Zhang, J. M. Bugajski, and K. R. Raghavan. 1999. US patent No. 5,966,709.
25. T. Zhang. 1999. US patent No. 5,983,232.