IPH2O: Island Parallel-Harris Hawks Optimizer-Based CLSTM for Stock Price Movement Prediction-Reference-Cited by-同舟云学术

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IPH2O: Island Parallel-Harris Hawks Optimizer-Based CLSTM for Stock Price Movement Prediction

Published:2023-08-28 Issue: Volume: Page:
ISSN:2198-5804
Container-title:Annals of Data Science
language:en
Short-container-title:Ann. Data. Sci.

Author:

Joel Linda,Parthasarathy S.,Venkatesan P.,Nandhini S.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Statistics, Probability and Uncertainty,Computer Science Applications,Business, Management and Accounting (miscellaneous)

Link

https://link.springer.com/content/pdf/10.1007/s40745-023-00489-x.pdf

Reference24 articles.

1. Chen W, Jiang M, Zhang WG, Chen Z (2021) A novel graph convolutional feature-based convolutional neural network for stock trend prediction. Inf Sci 556:67–94. https://doi.org/10.1016/j.ins.2020.12.068

2. Sinha S, Mishra S, Mishra V, Ahmed T (2022) Sector influence aware stock trend prediction using 3D convolutional neural network. J King Saud Univ Comput Inf Sci 34(4):1511–1522. https://doi.org/10.1016/j.jksuci.2022.02.008

3. Wen M, Li P, Zhang L, Chen Y (2019) Stock market trend prediction using high-order information of time series. IEEE Access 7:28299–28308. https://doi.org/10.1109/ACCESS.2019.2901842

4. Chatzitheodorou K, Skouloudis A, Evangelinos K, Nikolaou I (2019) Exploring socially responsible investment perspectives: a literature mapping and an investor classification. Sustain Prod Consum 19:117–129. https://doi.org/10.1016/j.spc.2019.03.006

5. Tien JM (2017) Internet of things, real-time decision making, and artificial intelligence. Ann Data Sci 4:149–178. https://doi.org/10.1007/s40745-017-0112-5

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