Adaptation Knowledge from the Case Base
| dc.contributor.author | Main, J. | |
| dc.contributor.author | Dillon, Tharam S. | |
| dc.contributor.author | Witten, M. | |
| dc.date.accessioned | 2017-01-30T12:19:30Z | |
| dc.date.available | 2017-01-30T12:19:30Z | |
| dc.date.created | 2008-11-12T23:36:26Z | |
| dc.date.issued | 2007 | |
| dc.identifier.citation | Main, Julie and Dillon, Tharam S. and Witten, Mary. 2007. Adaptation Knowledge from the Case Base, in Orgun, Mehmet A. and Thornton, John (ed), AI 2007: Advances in Artificial Intelligence, pp 579-588. Heidelberg: Springer-Verlag. | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/20481 | |
| dc.identifier.doi | 10.1007/978-3-540-76928-6_59 | |
| dc.description.abstract |
Case adaptation continues to be one of the more difficult aspects of case-based reasoning to automate. This paper looks at several techniques for utilising the implicit knowledge contained in a case base for case adaptation in case-based reasoning systems. The most significant of the techniques proposed are a moderately successful data mining technique and a highly successful artificial neural network technique. Their effectiveness was evaluated on a footwear design problem. | |
| dc.publisher | Springer-Verlag | |
| dc.title | Adaptation Knowledge from the Case Base | |
| dc.type | Book Chapter | |
| dcterms.source.startPage | 579 | |
| dcterms.source.endPage | 588 | |
| dcterms.source.title | AI 2007: Advances in Artificial Intelligence | |
| dcterms.source.place | Heidelberg | |
| dcterms.source.chapter | 101 | |
| curtin.note |
The original publication is available at https://link.springer.com/ | |
| curtin.department | Centre for Extended Enterprises and Business Intelligence | |
| curtin.identifier | EPR-2891 | |
| curtin.accessStatus | Open access | |
| curtin.faculty | Curtin Business School |