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...
Saved in:
主要作者: | |
---|---|
格式: | Thesis |
語言: | English English English |
出版: |
2018
|
主題: | |
在線閱讀: | 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 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
成為第一個發表評論!