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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 |
