Discovering associations in very large databases by approximating
Acta Cybernetica
Post-mining: maintenance of association rules by wieghting
Information Systems
A fuzzy logic based method to acquire user threshold of minimum-support for mining association rules
Information Sciences—Informatics and Computer Science: An International Journal
Mining bridging rules between conceptual clusters
Applied Intelligence
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Database systems have been designed to serve multi-users in real-world applications. There are essential differences between mono- and multi-user applications when a database is very large. Therefore, this paper presents an "anytime" framework for mining very large databases which are shared by multi-users. Anytime mining is designed to generate approximate results such that these results can be accessed at any time while the system is autonomously mining a database.