An enhanced feature selection technique for classification of group-based holy quran verses

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An enhanced feature selection technique for classification of group-based holy quran verses

This thesis is about proposing an enhanced feature selection technique for text classification applications. Text classification problem is primarily applied in document labeling. However, the major setbacks with the existing feature selection techniques are high computational runtime associated wit...

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Bibliographic Details
Main Author:	Oyekunle, Adeleke Abdullahi
Format:	Thesis
Language:	English English English
Published:	2018
Subjects:	HB Economic Theory HB135-147 Mathematical economics. Quantitative methods. Including econometrics, input-output analysis, game theory
Online Access:	http://eprints.uthm.edu.my/7549/ http://eprints.uthm.edu.my/7549/2/24p%20ADELEKE%20ABDULLAHI%20OYEKUNLE.pdf http://eprints.uthm.edu.my/7549/1/ADELEKE%20ABDULLAHI%20OYEKUNLE%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/7549/3/ADELEKE%20ABDULLAHI%20OYEKUNLE%20WATERMARK.pdf

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