Ananthanarayana, VS and Subramanian, DK and Murty, MN (2003) Association rule mining activity : A general formalism. In: International Conference on Computer, Communication and Control Technologies (CCCT 03)/9th International Conference on Information Systems Analysis and Synthesis (ISAS03), JUL 31-AUG 02, 2003, Orlando, FLORIDA.Full text not available from this repository.
Mining association rules from a large collection of databases is based on two main tasks. One is generation of large itemsets; and the other is finding associations between the discovered large itemsets. Existing formalism for association rules are based on a single transaction database which is not sufficient to describe the association rules based on multiple database environment. In this paper, we give a general characterization of association rules and also give a framework for knowledge-based mining of multiple databases for association rules.
|Item Type:||Conference Paper|
|Additional Information:||Copyright of this article belongs to Int Inst Informatics & Systemics.|
|Department/Centre:||Division of Electrical Sciences > Computer Science & Automation (Formerly, School of Automation)|
|Date Deposited:||08 Mar 2012 09:54|
|Last Modified:||08 Mar 2012 09:54|
Actions (login required)