An efficient network traffic classification based on vital random forest for high dimensional dataset
This thesis proposes and implements an efficient network traffic classification method based on a new vital random forest for high dimensional data. Network traffic engineering is one of the most important technologies that have witnessed a rapid growth in the revolution of worldwide technologies....
Saved in:
| 格式: | Thesis |
|---|---|
| 语言: | English |
| 主题: | |
| 在线阅读: | http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/72698/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/72698/2/Full%20text.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/72698/4/Alhamza%20Munther.pdf |
| 标签: |
添加标签
没有标签, 成为第一个标记此记录!
|