Using machine learning techniques to study economic trends in various U.S. industries in the post-epidemic era
2021 International Conference on Computational Modeling, Simulation, and Data Analysis, CMSDA 2021
; 12160, 2022.
Article
in English
| Scopus | ID: covidwho-1774928
Keywords
COVID-19; Machine learning; Prediction; Stocks; Decision trees; Drops; Financial markets; Learning algorithms; Supervised learning; Time series analysis; Analysis approach; Company shares; Economic trends; Machine learning techniques; Share price; Stock; Stock data; Time-series analysis; US economy; Forecasting
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Experimental Studies
/
Prognostic study
/
Randomized controlled trials
Language:
English
Journal:
2021 International Conference on Computational Modeling, Simulation, and Data Analysis, CMSDA 2021
Year:
2022
Document Type:
Article
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