Anytime Mining for Multi-User Applications

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dc.contributor.author No, Contributors en_US
dc.date.accessioned 2009-12-21T03:52:35Z
dc.date.available 2009-12-21T03:52:35Z
dc.date.issued 2002 en_US
dc.identifier 2004002924 en_US
dc.identifier.citation No, C. 2002 'Anytime Mining for Multi-User Applications', IEEE Transactions on Systems, Man and Cybernetics (Part A), vol. 32, no. 4, pp. 515-521. en_US
dc.identifier.issn 1083-4427 en_US
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/5766
dc.description.abstract Database systems have been designed to serve multiusers 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 has been designed to generate approximate results such that these results can be accessed at any time while the system is autonomously mining a database. en_US
dc.publisher Institute of Electrical and Electronics Engineers en_US
dc.relation.isbasedon http://dx.doi.org/10.1109/TSMCA.2002.804793 en_US
dc.title Anytime Mining for Multi-User Applications en_US
dc.parent IEEE Transactions on Systems, Man and Cybernetics (Part A) en_US
dc.journal.volume 32 en_US
dc.journal.number 4 en_US
dc.publocation Piscataway, USA en_US
dc.identifier.startpage 515 en_US
dc.identifier.endpage 521 en_US
dc.cauo.name Information Technology en_US


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