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dc.contributor.authorHadzic, Fedja
dc.contributor.authorDillon, Tharam S.
dc.contributor.editorRobert Meersman
dc.contributor.editorZahir Tari
dc.contributor.editorPilar Herrero
dc.date.accessioned2017-01-30T10:43:39Z
dc.date.available2017-01-30T10:43:39Z
dc.date.created2008-11-12T23:32:54Z
dc.date.issued2007
dc.identifier.citationHadzic, Fedja and Dillon, Tharam S. 2007. Application of tree mining to matching of knowledge structures of decision tree type, in Meersman, R. and Tari, Z. and Herrero, P. (ed), On the move to meaningful internet systems 2007: OTM 2007 workshops, pp. 1319-1328. Berlin / Heidelberg: Springer.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/5065
dc.identifier.doi10.1007/978-3-540-76890-6_60
dc.description.abstract

Abstract: Matching of knowledge structures is generally important for scientific knowledge management, e-commerce, enterprise application integration, etc. With the desire of knowledge sharing and reuse in these fields, matching commonly occurs among different organizations on the knowledge describing the same domain. In this paper we propose a knowledge matching method which makes use of our previously developed tree mining algorithms for extracting frequent subtrees from a tree structured database. Example decision trees obtained from real world domains are used for experimentation purposes whereby some important issues that arise when extracting shared knowledge through tree mining are discussed. The potential of applying tree mining algorithms for automatic discovery of common knowledge structures is demonstrated.

dc.publisherSpringer
dc.titleApplication of tree mining to matching of knowledge structures of decision tree type
dc.typeBook Chapter
dcterms.source.startPage1319
dcterms.source.endPage1328
dcterms.source.titleOn the move to meaningful internet systems 2007: OTM 2007 workshops
dcterms.source.seriesLecture Notes in Computer Science
dcterms.source.isbn9783540768890
curtin.note

The original publication is available at http://www.springerlink.com

curtin.note

The link to this article is: http://www.springerlink.com/content/ju283rt7t07808r7/fulltext.pdf

curtin.departmentCentre for Extended Enterprises and Business Intelligence
curtin.identifierEPR-2617
curtin.accessStatusOpen access
curtin.facultyCurtin Business School
curtin.facultySchool of Information Systems


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