X3-Miner: mining patterns from an XML database

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dc.contributor.author Tan, HH
dc.contributor.author Dillon, TS
dc.contributor.author Feng, L
dc.contributor.author Chang, E
dc.contributor.author Hadzic, F
dc.contributor.editor Zanasi, A
dc.contributor.editor Brebbia, CA
dc.contributor.editor Ebecken, NFF
dc.date.accessioned 2009-11-09T02:45:35Z
dc.date.issued 2005-01
dc.identifier.citation Data Mining VI- Data Mining, Text Mining and their business applications, 2005, pp. 287 - 296
dc.identifier.isbn 1-84564-017-9
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/1869
dc.description.abstract An XML enabled framework for the representation of association rules in databases was first presented in [4]. In Frequent Structure Mining (FSM), one of the popular approaches is to use graph matching that use data structures such as the adjacency matrix
dc.publisher IEEE
dc.title X3-Miner: mining patterns from an XML database
dc.type Conference Proceeding
dc.parent Data Mining VI- Data Mining, Text Mining and their business applications
dc.journal.number en_US
dc.publocation New York, USA en_US
dc.identifier.startpage 287 en_US
dc.identifier.endpage 296 en_US
dc.cauo.name FEIT.School of Systems, Management and Leadership en_US
dc.conference Verified OK en_US
dc.conference International Conference on Data Mining, Text Mining and their Business Applications
dc.conference.location Skiathos, Greece en_US
dc.for 080108 Neural, Evolutionary and Fuzzy Computation
dc.personcode 030567
dc.percentage 100 en_US
dc.classification.name Neural, Evolutionary and Fuzzy Computation en_US
dc.classification.type FOR-08 en_US
dc.custom International Conference on Data Mining, Text Mining and their Business Applications en_US
dc.date.activity 20050525 en_US
dc.date.activity 2005-05-25
dc.location.activity Skiathos, Greece en_US
dc.description.keywords association mining, tree, algorithm, semantic relationships, XML. en_US
dc.description.keywords Information Technology and Telecommunications Sector
dc.description.keywords Spatial Clustering
dc.description.keywords Sydney
dc.description.keywords Localisatioin Economies
dc.description.keywords Urbanisation Economies
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history Closed (ID: 3)
utslib.collection.history School of Software (ID: 337)


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