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

• Main Author: Abdullahi Oyekunle, Adeleke
• Format: Thesis
• Language: English; English; English
• Published: 2018
• Subjects: HB135-147 Mathematical economics. Quantitative methods. Including econometrics, input-output analysis, game theory
• Online Access: http://eprints.uthm.edu.my/516/1/24p%20ADELEKE%20ABDULLAHI%20OYEKUNLE.pdf; http://eprints.uthm.edu.my/516/2/ADELEKE%20ABDULLAHI%20OYEKUNLE%20COPYRIGHT%20DECLARATION.pdf; http://eprints.uthm.edu.my/516/3/ADELEKE%20ABDULLAHI%20OYEKUNLE%20WATERMARK.pdf; http://eprints.uthm.edu.my/516/
• Institution: Universiti Tun Hussein Onn Malaysia

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...