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. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论