Knowledge discovery in multi-databases by analyzing local instances Zhang, Shichao. 2002, Knowledge discovery in multi-databases by analyzing local instances, Ph.D. thesis, School of Computing and Mathematics, Deakin University. Attached Files Name Description MIMEType Size Downloads Title Knowledge discovery in multi-databases by analyzing local instances Author Zhang, Shichao. Institution Deakin University School School of Computing and Mathematics Faculty Faculty of Science and Technology Degree name Ph.D. Date submitted 2002 Keyword(s) Data mining Database searching Summary Multi-databases mining is an urgent task. This thesis solves 4 key problems in multi-databases mining: Application-independent database classification - Local instance analysis model - Useful pattern discovery - Pattern synthesis. Language eng Description of original xx, 225 leaves ; 30 cm. Dewey Decimal Classification 005.74 Persistent URL http://hdl.handle.net/10536/DRO/DU:30028037 Document type: Thesis Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Higher degree theses (citation only)   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 01 Apr 2010, 16:09:37 EST Tue, 20 Apr 2010, 11:43:56 EST Tue, 20 Apr 2010, 11:45:04 EST Mon, 31 Jan 2011, 14:54:49 EST Mon, 31 Jan 2011, 14:56:56 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 452 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Thu, 01 Apr 2010, 16:09:36 EST

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