Stock Market Prediction Techniques Using Artificial Intelligence: A Systematic Review-Reference-Cited by-同舟云学术

Stock Market Prediction Techniques Using Artificial Intelligence: A Systematic Review

Published:2023 Issue: Volume: Page:219-233
ISSN:2367-3370
Container-title:Third Congress on Intelligent Systems
language:
Short-container-title:

Author:

Chaudhari Chandravesh,Purswani Geetanjali

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-9225-4_17

Reference66 articles.

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3. Somanathan AR, Rama SK (2020) A bibliometric review of stock market prediction: perspective of emerging markets. Appl Comput Syst 25:77–86. https://doi.org/10.2478/acss-2020-0010

4. Nti IK, Adekoya AF, Weyori BA (2021) A novel multi-source information-fusion predictive framework based on deep neural networks for accuracy enhancement in stock market prediction. J Big Data 8. https://doi.org/10.1186/s40537-020-00400-y

5. Singh A, Gupta P, Thakur N (2021) An empirical research and comprehensive analysis of stock market prediction using machine learning and deep learning techniques. IOP Conf Ser Mater Sci Eng 1022. https://doi.org/10.1088/1757-899X/1022/1/012098

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1. Stock Market Prediction Using AI;2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN);2023-05-05