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2013 IEEE 29th International Conference on Data Engineering (ICDE) (1996)
New Orleans, Louisiana
Feb. 26, 1996 to Mar. 1, 1996
ISSN: 1063-6382
ISBN: 0-8186-7240-4
pp: 106
David W. Cheung , The University of Hong Kong
C. Y. Wong , The University of Hong Kong
Vincent T. Ng , Hong Kong Polytechnic University
Jiawei Han , Simon Fraser University
An incremental updating technique is developed for maintenance of the association rules discovered by database mining. There have been many studies on efficient discovery of association rules in large databases. However, it is nontrivial to maintain such discovered rules in large databases because a database may allow frequent or occasional updates and such updates may not only invalidate some existing strong association rules but also turn some weak rules into strong ones. In this study, an incremental updating technique is proposed for efficient maintenance of discovered association rules when new transaction data are added to a transaction database.
Data Mining, Databases, Knowledge Discovery
David W. Cheung, C. Y. Wong, Vincent T. Ng, Jiawei Han, "Maintenance of Discovered Association Rules in Large Databases: An Incremental Updating Techniques", 2013 IEEE 29th International Conference on Data Engineering (ICDE), vol. 00, no. , pp. 106, 1996, doi:10.1109/ICDE.1996.492094
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