A hybrid approach for learning concept hierarchy from Malay text using artificial immune network
A concept hierarchy is an integral part of an ontology but it is expensive and time consuming to build. Motivated by this, many unsupervised learning methods have been proposed to (semi-) automatically develop a concept hierarchy. A significant work is the Guided Agglomerative Hierarchical Clusterin...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Springer
2010
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/22797/ http://link.springer.com/article/10.1007%2Fs11047-010-9228-7 |
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