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发表刊物：Computers in Industry
刊物所在地：荷兰
关键字：Light curve, ARIMA, Real-time analysis, Big data processing, Anomaly detection
摘要：Due to the fast development and wide deployment of cloud computing and big data, applications in various industries have shown their unique advantages. Currently, many fields have gained great changes due to benefits brought by big data analysis. This paper accurately and quickly analyzes the data of Ground-based Wide-Angle Camera array (GWAC) based on Grubbs and detects anomaly astronomical events. In this paper, we improved ARIMA model with the dynamic and parallel processing. The model identifies anomaly events that occur in light curves obtained from GWAC as early as possible with high deg
论文类型：基础研究
论文编号：DOI: 10.1016/j.compind.2018.01.021
一级学科：计算机科学与技术
文献类型：期刊
卷号：97
页面范围：76-84
ISSN号：0166-3615
是否译文：否
CN号：null
发表时间：2018-05-01
收录刊物：SCI
发布期刊链接：https://www-sciencedirect-com-s.vpn.buaa.edu.cn:8118/science/article/pii/S0166361517303287