internet traffic classification using c4.5 decision tree

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	internet traffic classification using c4.5 decision tree
	Xu Peng ; Lin Sen
刊名	Ruan Jian Xue Bao/Journal of Software
	2009
卷号	20 期号:10 页码:2692-2704
关键词	Decision trees Internet Probability density function Probability distributions
ISSN号	10009825
收录类别	EI
语种	中文
公开日期	2011-03-18
附注	In recent years, Internet traffic classification using machine learning has become a new direction in network measurement. Being simple and efficient Nai¨ve Bayes and its improved methods have been widely used in this area. But these methods depend too much on probability distribution of sample spacing, so they have connatural instability. To handle this problem, a new method based on C4.5 decision tree is proposed in this paper. This method builds a classification model using information entropy in training data and classifies flows just by a simple search of the decision tree. The theoretical analysis and experimental results show that there are obvious advantages in classification stability when C4.5 decision tree method is used to classify Internet traffic. © by Institute of Software, the Chinese Academy of Sciences. All rights reserved.
内容类型	期刊论文
源URL	[http://124.16.136.157/handle/311060/8054]
专题	软件研究所_软件所图书馆_2009年期刊/会议论文
推荐引用方式 GB/T 7714	Xu Peng,Lin Sen. internet traffic classification using c4.5 decision tree[J]. Ruan Jian Xue Bao/Journal of Software,2009,20(10):2692-2704.
APA	Xu Peng,&Lin Sen.(2009).internet traffic classification using c4.5 decision tree.Ruan Jian Xue Bao/Journal of Software,20(10),2692-2704.
MLA	Xu Peng,et al."internet traffic classification using c4.5 decision tree".Ruan Jian Xue Bao/Journal of Software 20.10(2009):2692-2704.