文献
J-GLOBAL ID:201702250069188606
整理番号:17A0852145
トラフィック分類のための効率的でロバストな特徴抽出と選択【Powered by NICT】
Efficient and robust feature extraction and selection for traffic classification
著者 (6件):
Shi Hongtao
(College of Information Science and Engineering, Ocean University of China, Qingdao 266100, PR China)
,
Shi Hongtao
(Network Management Center, Qingdao Agricultural University, Qingdao 266109, PR China)
,
Li Hongping
(College of Information Science and Engineering, Ocean University of China, Qingdao 266100, PR China)
,
Zhang Dan
(College of Information Science and Engineering, Ocean University of China, Qingdao 266100, PR China)
,
Cheng Chaqiu
(College of Information Science and Engineering, Ocean University of China, Qingdao 266100, PR China)
,
Wu Wei
(College of Information Science and Engineering, Ocean University of China, Qingdao 266100, PR China)
資料名:
Computer Networks
(Computer Networks)
巻:
119
ページ:
1-16
発行年:
2017年
JST資料番号:
A0360B
ISSN:
1389-1286
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)