Big Data in Forecasting Research: A Literature Review
文献类型：期刊论文
| 作者 | Tang, Ling1,2; Li, Jieyi1; Du, Hongchuan3; Li, Ling4; Wu, Jun1; Wang, Shouyang5 |
| 刊名 | BIG DATA RESEARCH
 |
| 出版日期 | 2022-02-28 |
| 卷号 | 27页码:30 |
| 关键词 | Big data Forecasting Literature review Prediction models Information |
| ISSN号 | 2214-5796 |
| DOI | 10.1016/j.bdr.2021.100289 |
| 英文摘要 | With the boom in Internet techniques and computer science, a variety of big data have been introduced into forecasting research, bringing new knowledge and improving prediction models. This paper is the first attempt to conduct a literature review on full-scale big data in forecasting research. By source, big data in forecasting research fell into user-generated content data (from the users on social media in texts, photos, etc.), device-monitored data (by meteorological monitors, smart meters, GPS, etc.) and activity log data (for web searching/visiting, online/offline marketing, clinical treatments, laboratory experiments, etc.). Different data types, bearing distinctive information and characteristics, dominated different forecasting tasks, required different analysis technologies and improved different forecasting models. This survey provides an overall review of big data-based forecasting research, details what (regarding data types and sources), where (forecasting hotspots) and how (analysis and forecasting methods used) big data improved prediction, and offers insights into future prospects. (C) 2021 Elsevier Inc. All rights reserved. |
| 资助项目 | National Natural Science Foundation of China[72004144] ; National Natural Science Foundation of China[71971007] |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000729947700004 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/59787]  |
| 专题 | 中国科学院数学与系统科学研究院 |
| 通讯作者 | Li, Ling |
| 作者单位 | 1.Beijing Univ Chem Technol, Sch Econ & Management, Beijing 100029, Peoples R China 2.Beihang Univ, Sch Econ & Management, Beijing 100191, Peoples R China 3.Beijing Univ Chem Technol, Sch Sci, Beijing 100029, Peoples R China 4.Capital Univ Econ & Business, Int Sch Econ & Management, Beijing 100070, Peoples R China 5.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Tang, Ling,Li, Jieyi,Du, Hongchuan,et al. Big Data in Forecasting Research: A Literature Review[J]. BIG DATA RESEARCH,2022,27:30. |
| APA | Tang, Ling,Li, Jieyi,Du, Hongchuan,Li, Ling,Wu, Jun,&Wang, Shouyang.(2022).Big Data in Forecasting Research: A Literature Review.BIG DATA RESEARCH,27,30. |
| MLA | Tang, Ling,et al."Big Data in Forecasting Research: A Literature Review".BIG DATA RESEARCH 27(2022):30. |
入库方式： OAI收割
来源：数学与系统科学研究院
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