Pemodelan Identifikasi Trafik Bittorrent Dengan Pendekatan Correlation Based Feature Selection (CFS) Menggunakan Algoritme Decision Tree (C4.5)
Abstract— BitTorrent is a P2P file sharing software protocol that allows clients to apply data to other clients and can affect network performance. Bittorent client traffic data collection uses secondary data taken from official sources on the link https://unb.ca/cic/datasets/index.html in 2016. Tra...
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Main Authors: | Hesmi Aria Yanti, Heru Sukoco, Shelvie Nidya Neyman |
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Format: | article |
Language: | ID |
Published: |
Universitas Negeri Medan
2021
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Online Access: | https://doaj.org/article/65bb0e8f136b4c7f9c072826ab21009d |
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