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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Detalles Bibliográficos
Autores principales:	Hesmi Aria Yanti, Heru Sukoco, Shelvie Nidya Neyman
Formato:	article
Lenguaje:	ID
Publicado:	Universitas Negeri Medan 2021
Materias:	bittorrent c4.5 algorithm correlation based feature selection traffic identification modeling Electronic computers. Computer science QA75.5-76.95
Acceso en línea:	https://doaj.org/article/65bb0e8f136b4c7f9c072826ab21009d
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Pemodelan Identifikasi Trafik Bittorrent Dengan Pendekatan Correlation Based Feature Selection (CFS) Menggunakan Algoritme Decision Tree (C4.5)

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