Application of tree mining to matching of knowledge structures of decision tree type

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 describi...

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Main Authors:	Hadzic, Fedja, Dillon, Tharam S.
Other Authors:	Meersman, Robert; Tari, Zahir; Herrero, Pilar (Eds.)
Format:	Book Chapter
Published:	Springer 2007
Online Access:	http://hdl.handle.net/20.500.11937/5065

id	curtin-20.500.11937-5065
recordtype	eprints
spelling	curtin-20.500.11937-50652017-09-13T16:04:15Z Application of tree mining to matching of knowledge structures of decision tree type Hadzic, Fedja Dillon, Tharam S. Meersman, Robert; Tari, Zahir; Herrero, Pilar (Eds.) 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. 2007 Book Chapter http://hdl.handle.net/20.500.11937/5065 10.1007/978-3-540-76890-6_60 Springer fulltext
repository_type	Digital Repository
institution_category	Local University
institution	Curtin University Malaysia
building	Curtin Institutional Repository
collection	Online Access
description	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.
author2	Meersman, Robert; Tari, Zahir; Herrero, Pilar (Eds.)
author_facet	Meersman, Robert; Tari, Zahir; Herrero, Pilar (Eds.) Hadzic, Fedja Dillon, Tharam S.
format	Book Chapter
author	Hadzic, Fedja Dillon, Tharam S.
spellingShingle	Hadzic, Fedja Dillon, Tharam S. Application of tree mining to matching of knowledge structures of decision tree type
author_sort	Hadzic, Fedja
title	Application of tree mining to matching of knowledge structures of decision tree type
title_short	Application of tree mining to matching of knowledge structures of decision tree type
title_full	Application of tree mining to matching of knowledge structures of decision tree type
title_fullStr	Application of tree mining to matching of knowledge structures of decision tree type
title_full_unstemmed	Application of tree mining to matching of knowledge structures of decision tree type
title_sort	application of tree mining to matching of knowledge structures of decision tree type
publisher	Springer
publishDate	2007
url	http://hdl.handle.net/20.500.11937/5065
first_indexed	2018-09-06T17:56:52Z
last_indexed	2018-09-06T17:56:52Z
_version_	1610881813534736384

Application of tree mining to matching of knowledge structures of decision tree type

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