A hybrid approach for learning concept hierarchy from Malay text using artificial immune network

• Main Authors: Ahmad Nazri, Mohd. Zakree, Shamsudin, Siti Mariyam, Abu Bakar, Azuraliza, Abdullah, Salwani
• Format: Article
• Published: Springer 2010
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/22797/; http://link.springer.com/article/10.1007%2Fs11047-010-9228-7

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...