Efficacy of a Classical and a Few Modified Machine Learning Algorithms in Forecasting Financial Time Series-Reference-Cited by-同舟云学术

Efficacy of a Classical and a Few Modified Machine Learning Algorithms in Forecasting Financial Time Series

Published:2020 Issue: Volume: Page:3-30
ISSN:2198-4182
Container-title:Studies in Systems, Decision and Control
language:
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Author:

Verma Shilpa Amit,Thampi G. T.,Rao Madhuri

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-39047-1_1

Reference32 articles.

1. Jain, A., Bhatnagar, V.: Concoction of ambient intelligence and big data for better patient ministration services. Int. J. Ambient. Comput. Intell. (IJACI) 8(4), 19–30 (2017)

2. Kamal, S., Dey, N., Nimmy, S.F., et al.: Evolutionary framework for coding area selection from cancer data. Neural Comput. Appl. 29(4), 1015–1037 (2018)

3. Dey, N., Wagh, S., Mahalle, P., Pathan, M.: Applied Machine Learning for Smart Data Analysis. CRC Press, Boca Raton (2019). https://doi.org/10.1201/9780429440953

4. Dey, N., Ashour, A.S., Bhatt, C.: Internet of things driven connected healthcare. In: Internet of Things and Big Data Technologies for Next Generation Healthcare, pp. 3–12. Springer, Cham (2017)

5. Mo, H., Wang, J., Niu, H.: Exponent back propagation neural network forecasting for financial cross-correlation relationship. Expert Syst. Appl. 53, 106–116 (2016)

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