Forecasting Bitcoin Prices in the Context of the COVID-19 Pandemic Using Machine Learning Approaches
Conference paper
Sontakke, P., Jafari, F., Saeedi, M. and Amirhosseini, M. 2024. Forecasting Bitcoin Prices in the Context of the COVID-19 Pandemic Using Machine Learning Approaches. 4th International Conference on Data Analytics & Management (ICDAM-2023). London, UK 23 - 24 Jun 2023 Springer.
Authors | Sontakke, P., Jafari, F., Saeedi, M. and Amirhosseini, M. |
---|---|
Type | Conference paper |
Keywords | Cryptocurrency; Bitcoin Price; Time Series Forecasting; Machine Learning; Technical Indicators; Linear Regression; Support Vector Regression; Extreme Gradient Boosting; Long Short-Term Memory |
Year | 2024 |
Conference | 4th International Conference on Data Analytics & Management (ICDAM-2023) |
Publisher | Springer |
Publication dates | |
12 Jan 2024 | |
Online | 12 Jan 2024 |
Publication process dates | |
Accepted | 17 Mar 2023 |
Deposited | 09 May 2023 |
Journal citation | In Press |
ISSN | 2367-3370 |
Book title | Proceedings of Data Analytics and Management: ICDAM 2023, Volume 1 |
Book editor | Swaroop, A. |
Polkowski, Z. | |
Correia, S. D. | |
Virdee, B. | |
ISBN | 9789819965434 |
9789819965441 | |
Web address (URL) of conference proceedings | https://link.springer.com/book/9789819965434 |
Web address (URL) | https://www.icdam-conf.com/ |
Copyright holder | © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. |
Permalink -
https://repository.uel.ac.uk/item/8vz2w
73
total views14
total downloads6
views this month0
downloads this month