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...
| 第一著者: | |
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| フォーマット: | Dissertation |
| 言語: | 英語 英語 英語 |
| 出版事項: |
2018
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| 主題: | |
| オンライン・アクセス: | http://eprints.uthm.edu.my/7549/ |
| Abstract | Abstract here |
