Open Access
| Issue |
JNWPU
Volume 38, Number 5, October 2020
|
|
|---|---|---|
| Page(s) | 1030 - 1037 | |
| DOI | https://doi.org/10.1051/jnwpu/20203851030 | |
| Published online | 08 December 2020 | |
- Dang Y, Lin Q, Huang P. AIOps: Real-World Challenges and Research Innovations[C]//Proceedings of the 41st International Conference on Software Engineering: Companion Proceedings, 2019 [Google Scholar]
- Pei Dan, Zhang Shenglin, Pei Changhua, et al. Intelligent Operation and Maintenance Based on Machine Learning[J]. Communications of the CCF, 2017, 13 (12): 68– 72 [Article] (in Chinese) [Google Scholar]
- Lin Ziyu, Lai Yongxuan, Lin Chen, et al. Research on Cloud Databases[J]. Journal of Software, 2012, 23 (5): 1148– 1166 [Article] (in Chinese) [CrossRef] [Google Scholar]
- Yuan Jidong, Wang Zhihai. Review of Time Series Representation and Classification Techniques[J]. Computer Science, 2015, 42 (3): 1– 7 [Article] (in Chinese) [Google Scholar]
- Jan G., De Gooijer, Hyndman ROB J.. 25 Years of Time Series Forecasting[J]. International Journal of Forecasting, 2006, 22 (3): 443– 473 [Article] [CrossRef] [Google Scholar]
- Yang Haimin, Pan Zhisong, Bai Wei. Review of Time Series Prediction Methods[J]. Computer Science, 2019, 46 (1): 21– 28 [Article] (in Chinese) [Google Scholar]
- Taylor S J, Letham B. Forecasting at Scale[J]. The American Statistician, 2018, 72 (1): 37– 45 [Article] [CrossRef] [Google Scholar]
- Han Dongming, Guo Fangzhou, Pan Jiacheng, et al. Visual Analysis for Anomaly Detection in Time-Series:a Survey[J]. Computer Research and Development, 2018, 55 (9): 1843– 1852 [Article] (in Chinese) [Google Scholar]
- Cui Jiaxu, Yang Bo. Survey on Bayesian Aptimization Methodology and Applications[J]. Journal of Software, 2018, 29 (10): 3068– 3090 [Article] (in Chinese) [Google Scholar]
- Rob J H, Anne B K, Ralph D S, et al. A State Space Framework for Automatic Forecasting Using Exponential Smoothing Methods[J]. International Journal of Forecasting, 2002, 18 (3): 439– 454 [Article] [CrossRef] [Google Scholar]
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