An efficient network traffic classification based on vital random forest for high dimensional dataset / \c Alhamza Munther Wardi Alalousi
The aim this thesis is to propose a Vital Random Forest (VRF); an efficient network traffic classification for high dimensional dataset. VRF is a onepackage introducing a new features selection technique, data inputs reduction and a new build model for random forest method. The objectives are as fol...
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| Format: | Thesis Book |
| Language: | English |
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Perlis, Malaysia
School of Computer and Communication Engineering, Universiti Malaysia Perlis
2017
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