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	Fast Tensor Factorization for Accurate Internet Anomaly Detection
	Xie, Kun; Li, Xiaocan; Wang, Xin; Xie, Gaogang; Wen, Jigang; Cao, Jiannong; Zhang, Dafang
刊名	IEEE/ACM Transactions on Networking
	2017
卷号	Vol.25 No.6页码:3794-3807
关键词	Tensile stress Anomaly detection Robustness Principal component analysis Internet Noise measurement Data models Internet traffic anomaly detection tensor recovery tensor completion
ISSN号	1063-6692;1558-2566
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/6051808
专题	湖南大学
作者单位	1.College of Computer Science and Electronics Engineering, Hunan University, Changsha 2.410012, China 3.Department of Electrical and Computer Engineering, State University of New York, Stony Brook 4.NY 5.11794, United States 6.CAS Key Laboratory of Net
推荐引用方式 GB/T 7714	Xie, Kun,Li, Xiaocan,Wang, Xin,et al. Fast Tensor Factorization for Accurate Internet Anomaly Detection[J]. IEEE/ACM Transactions on Networking,2017,Vol.25 No.6:3794-3807.
APA	Xie, Kun.,Li, Xiaocan.,Wang, Xin.,Xie, Gaogang.,Wen, Jigang.,...&Zhang, Dafang.(2017).Fast Tensor Factorization for Accurate Internet Anomaly Detection.IEEE/ACM Transactions on Networking,Vol.25 No.6,3794-3807.
MLA	Xie, Kun,et al."Fast Tensor Factorization for Accurate Internet Anomaly Detection".IEEE/ACM Transactions on Networking Vol.25 No.6(2017):3794-3807.

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