Review of Different Machine Learning Techniques for Stock Market Prediction-Reference-Cited by-同舟云学术

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Review of Different Machine Learning Techniques for Stock Market Prediction

Published:2021 Issue: Volume: Page:715-724
ISSN:2367-3370
Container-title:Inventive Systems and Control
language:
Short-container-title:

Author:

Rahul ,Rauniyar Kritesh,Khan Javed Ahmad,Monika A.

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-1395-1_53

Reference18 articles.

1. Investopedia. [Online]. Available: investopedia.com

2. A. Degutis, L. Novickytė, The efficient market hypothesis: a critical review of literature and methodology. Ekonomika, 93(2), 7–23 (2014). https://doi.org/10.15388/ekon.2014.2.3549

3. K.C. Rasekhschaffe, R.C. Jones, Machine learning for stock selection. Financ. Anal. J. 75(3), 70–88 (2019). https://doi.org/10.1080/0015198X.2019.1596678

4. L. Zhao, L. Wang, Price trend prediction of stock market using outlier data mining algorithm, in Proceedings—2015 IEEE 5th International Conference on Big Data and Cloud Computing, BDCloud 2015 (2015), pp. 93–98. https://doi.org/10.1109/BDCloud.2015.19

5. Z. Liu, Y. Zeng, Y. Yan, P. Zhang, Y. Wang, Machine learning for analyzing malware. J. Cyber Secur. Mobility 6(3), 227–244 (2017). https://doi.org/10.13052/jcsm2245-1439.631

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