You are not logged in.

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

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 458 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Thu, 01 Apr 2010, 16:09:36 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.