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...
Main Authors: | Ahmad Nazri, Mohd. Zakree, Shamsudin, Siti Mariyam, Abu Bakar, Azuraliza, Abdullah, Salwani |
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Format: | Article |
Published: |
Springer
2010
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Subjects: |
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