文章基本信息

标题：Survey of Feature Selection Technique in Internet Traffic Data
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作者：Hardeep Singh ; Harish Kumar
期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2012
卷号：2
期号：3
出版社：S.S. Mishra
摘要：Area of network traffic clas sification usin g applicati on of machine learning has been increased enor mously in recen t years. Network traffic classificationi s necessar y today b ecau se of increase in n o of users toda y in the intern et and qu ality of serv ice i n th e n etwork. Netwo rk traffic classi fication algori thm works on variou s network traffic features. So in a huge amount of network t raffic data n ot every feature is relevant. So a irrelevant feature increase the time of classification algorithm. So featu re se lec tion is needed to reduce th e di mensionality of feature space and redu ce th e computation al ti me of classifier. In this paper, differen t type s of featu re s selection method are used in traffic classification are presen ted
关键词：ENETIC ;A;LGOR ITHM;F;EATURE ;S;UBSET ;S;ELECTION;C;ORRE LATI ON ;B;ASED ;F;EA TURE ;S;ELECTI ON;C;LASS IFICA TION ;M;ETRICS;F;E ATUR E ;E;V ALUA TION