PERFORMANCE COMPARISON OF DIFFERENT FEATURE SETS FOR NETWORK TRAFFIC CLASSIFICATION USING RECURSIVE FEATURE ELIMINATION FEATURE SELECTION AND ONE-VS-REST RANDOM FOREST ALGORITHM
Network traffic classification is an identification process of network applications like Yahoo, YouTube, Facebook, and Skype. Network traffic classification is required by network management to manage resources and to know different applications that can help network operators provide good Qualit...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/60926 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |