Anytime mining for multiuser applications
Shichao Zhang, Chengqi Zhang · IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans · 2002
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.