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	Group behavior time series anomaly detection in specific network space based on separation degree
	Wang, Lei[1]; Xu, Lingyu[2]; Xue, Yunlan[3]; Zhang, Gaowei[4]
刊名	CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS
	2016
卷号	19页码:1201-1210
关键词	Cohesion degree Separation degree Self-adaptive interval Anomaly detection
ISSN号	1386-7857
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2230680
专题	上海大学
作者单位	1.[1]Shanghai Univ, Sch Comp Engn & Sci, Shanghai, Peoples R China. 2.[2]Shanghai Univ, Sch Comp Engn & Sci, Shanghai, Peoples R China. 3.[3]Shanghai Univ, Sch Comp Engn & Sci, Shanghai, Peoples R China. 4.[4]Shanghai Univ, Sch Comp Engn & Sci, Shanghai, Peoples R China.
推荐引用方式 GB/T 7714	Wang, Lei[1],Xu, Lingyu[2],Xue, Yunlan[3],et al. Group behavior time series anomaly detection in specific network space based on separation degree[J]. CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS,2016,19:1201-1210.
APA	Wang, Lei[1],Xu, Lingyu[2],Xue, Yunlan[3],&Zhang, Gaowei[4].(2016).Group behavior time series anomaly detection in specific network space based on separation degree.CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS,19,1201-1210.
MLA	Wang, Lei[1],et al."Group behavior time series anomaly detection in specific network space based on separation degree".CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS 19(2016):1201-1210.

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