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Big Data in Forecasting Research: A Literature Review
Tang, Ling1,2; Li, Jieyi1; Du, Hongchuan3; Li, Ling4; Wu, Jun1; Wang, Shouyang5
2022-02-28
Source PublicationBIG DATA RESEARCH
ISSN2214-5796
Volume27Pages:30
AbstractWith 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.
KeywordBig data Forecasting Literature review Prediction models Information
DOI10.1016/j.bdr.2021.100289
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[72004144] ; National Natural Science Foundation of China[71971007]
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Information Systems ; Computer Science, Theory & Methods
WOS IDWOS:000729947700004
PublisherELSEVIER
Citation statistics
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/59788
Collection中国科学院数学与系统科学研究院
Corresponding AuthorLi, Ling
Affiliation1.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
Recommended Citation
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.
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