Taxonomy learning from Malay texts using artificial immune system based clustering

In taxonomy learning from texts, the extracted features that are used to describe the context of a term usually are erroneous and sparse. Various attempts to overcome data sparseness and noise have been made using clustering algorithm such as Hierarchical Agglomerative Clustering (HAC), Bisecting K-...

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Bibliographic Details
Main Author: Ahmad Nazri, Mohd. Zakree
Format: Thesis
Published: 2011
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