Association rule mining activity : A general formalism

Autor: Ananthanarayana, VS, Subramanian, DK, Murty, MN
Rok vydání: 2003
Předmět:
Zdroj: IndraStra Global.
ISSN: 2381-3652
Popis: 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.
Databáze: OpenAIRE