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...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Book Chapter |
| Published: |
Springer
2007
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| Online Access: | http://hdl.handle.net/20.500.11937/5065 |
| _version_ | 1848744692043218944 |
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| author | Hadzic, Fedja Dillon, Tharam S. |
| author2 | Robert Meersman |
| author_facet | Robert Meersman Hadzic, Fedja Dillon, Tharam S. |
| author_sort | Hadzic, Fedja |
| 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. |
| first_indexed | 2025-11-14T06:05:30Z |
| format | Book Chapter |
| id | curtin-20.500.11937-5065 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:05:30Z |
| publishDate | 2007 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-50652022-11-21T05:19:39Z Application of tree mining to matching of knowledge structures of decision tree type Hadzic, Fedja Dillon, Tharam S. Robert Meersman Zahir Tari Pilar Herrero 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 |
| spellingShingle | Hadzic, Fedja Dillon, Tharam S. Application of tree mining to matching of knowledge structures of decision tree type |
| title | 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_short | 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 |
| url | http://hdl.handle.net/20.500.11937/5065 |