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	Detecting Anomalies in Time Series Data via a Meta-Feature Based Approach
	Hui, Min[1]; Ji, Zhiwei[2]; Yan, Ke[3]; Guo, Ye[4]; Feng, Xiaowei[5]; Gong, Jiaheng[6]; Zhao, Xin[7]; Dong, Ligang[8]
刊名	IEEE ACCESS
	2018
卷号	6页码:27760-27776
关键词	Anomaly detection meta-feature one-class SVM time series shield tunneling
ISSN号	2169-3536
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/2173944
专题	上海大学
作者单位	1.[1]Shanghai Univ, SHU UTS SILC Business Sch, Shanghai 201800, Peoples R China. 2.[2]Zhejiang Gongshang Univ, Sch Informat & Elect Engn, Hangzhou 310018, Peoples R China. 3.[3]China Jiliang Univ, Coll Informat Engn, Hangzhou 310018, Peoples R China. 4.[4]Shanghai Univ, SHU UTS SILC Business Sch, Shanghai 201800, Peoples R China. 5.[5]Shanghai Univ, SHU UTS SILC Business Sch, Shanghai 201800, Peoples R China. 6.[6]Zhejiang Gongshang Univ, Sch Informat & Elect Engn, Hangzhou 310018, Peoples R China. 7.[7]Capital Med Univ, Beijing Chaoyang Hosp, Beijing 100001, Peoples R China. 8.[8]Zhejiang Gongshang Univ, Sch Informat & Elect Engn, Hangzhou 310018, Peoples R China.
推荐引用方式 GB/T 7714	Hui, Min[1],Ji, Zhiwei[2],Yan, Ke[3],et al. Detecting Anomalies in Time Series Data via a Meta-Feature Based Approach[J]. IEEE ACCESS,2018,6:27760-27776.
APA	Hui, Min[1].,Ji, Zhiwei[2].,Yan, Ke[3].,Guo, Ye[4].,Feng, Xiaowei[5].,...&Dong, Ligang[8].(2018).Detecting Anomalies in Time Series Data via a Meta-Feature Based Approach.IEEE ACCESS,6,27760-27776.
MLA	Hui, Min[1],et al."Detecting Anomalies in Time Series Data via a Meta-Feature Based Approach".IEEE ACCESS 6(2018):27760-27776.

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