Knowledge discovery in biomedical data facilitated by domain ontologies
In some real-world areas, it is important to enrich the data with external background knowledge so as to provide context and to facilitate pattern recognition. These areas may be described as data rich but knowledge poor. There are two challenges to incorporate this biological knowledge into the dat...
| Main Authors: | , , , , |
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| Format: | Book Chapter |
| Published: |
IGI Global
2007
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| Online Access: | http://hdl.handle.net/20.500.11937/44545 |
| _version_ | 1848757032009596928 |
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| author | Sidhu, Amandeep Kennedy, P. Simoff, S. Dillon, Tharam S. Chang, Elizabeth |
| author_facet | Sidhu, Amandeep Kennedy, P. Simoff, S. Dillon, Tharam S. Chang, Elizabeth |
| author_sort | Sidhu, Amandeep |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In some real-world areas, it is important to enrich the data with external background knowledge so as to provide context and to facilitate pattern recognition. These areas may be described as data rich but knowledge poor. There are two challenges to incorporate this biological knowledge into the data mining cycle: (1) generating the ontologies; and (2) adapting the data mining algorithms to make use of the ontologies. This chapter presents the state-of-the-art in bringing the background ontology knowledgeinto the pattern recognition task for biomedical data. |
| first_indexed | 2025-11-14T09:21:38Z |
| format | Book Chapter |
| id | curtin-20.500.11937-44545 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:21:38Z |
| publishDate | 2007 |
| publisher | IGI Global |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-445452017-01-30T15:14:48Z Knowledge discovery in biomedical data facilitated by domain ontologies Sidhu, Amandeep Kennedy, P. Simoff, S. Dillon, Tharam S. Chang, Elizabeth In some real-world areas, it is important to enrich the data with external background knowledge so as to provide context and to facilitate pattern recognition. These areas may be described as data rich but knowledge poor. There are two challenges to incorporate this biological knowledge into the data mining cycle: (1) generating the ontologies; and (2) adapting the data mining algorithms to make use of the ontologies. This chapter presents the state-of-the-art in bringing the background ontology knowledgeinto the pattern recognition task for biomedical data. 2007 Book Chapter http://hdl.handle.net/20.500.11937/44545 IGI Global restricted |
| spellingShingle | Sidhu, Amandeep Kennedy, P. Simoff, S. Dillon, Tharam S. Chang, Elizabeth Knowledge discovery in biomedical data facilitated by domain ontologies |
| title | Knowledge discovery in biomedical data facilitated by domain ontologies |
| title_full | Knowledge discovery in biomedical data facilitated by domain ontologies |
| title_fullStr | Knowledge discovery in biomedical data facilitated by domain ontologies |
| title_full_unstemmed | Knowledge discovery in biomedical data facilitated by domain ontologies |
| title_short | Knowledge discovery in biomedical data facilitated by domain ontologies |
| title_sort | knowledge discovery in biomedical data facilitated by domain ontologies |
| url | http://hdl.handle.net/20.500.11937/44545 |