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....

Full description

Saved in:
Bibliographic Details
Format: Thesis
Language:English
Subjects:
Online Access: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
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items