CORC  > 浙江工商大学
Detecting Anomalies in Time Series Data via a Meta-Feature Based Approach
Hui, Min[1]; Ji, Zhiwei[2]; Yan, Ke[3]; Guo, Ye[1]; Feng, Xiaowei[1]; Gong, Jiaheng[2]; Zhao, Xin[4]; Dong, Ligang[2]
2018
卷号6页码:27760
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/5544940
专题浙江工商大学
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]Capital Med Univ, Beijing Chaoyang Hosp, Beijing 100001, 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],2018,6:27760.
APA Hui, Min[1].,Ji, Zhiwei[2].,Yan, Ke[3].,Guo, Ye[1].,Feng, Xiaowei[1].,...&Dong, Ligang[2].(2018).Detecting Anomalies in Time Series Data via a Meta-Feature Based Approach.,6,27760.
MLA Hui, Min[1],et al."Detecting Anomalies in Time Series Data via a Meta-Feature Based Approach".6(2018):27760.
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