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....
محفوظ في:
| التنسيق: | أطروحة |
|---|---|
| اللغة: | English |
| الموضوعات: | |
| الوصول للمادة أونلاين: | 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 |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|