Stock Price Prediction Using Time Series
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-56700-1_25
Reference21 articles.
1. Huamin, T., Qiuqun, D., Shanzhu, X.: Reconstruction of time series with missing value using 2D representation-based denoising autoencoder. J. Syst. Eng. Electron. 31(6), 1087–1096 (2020). https://doi.org/10.23919/JSEE.2020.000081
2. Ariyo, A.A., Adewumi, A.O., Ayo, C.K.: Stock price prediction using the ARIMA model. In: 2014 UKSim-AMSS 16th International Conference on Computer Modelling and Simulation, pp. 106–112 (2014). https://doi.org/10.1109/UKSim.2014.67
3. Gupta, A., Kumar, A.: Mid Term daily load forecasting using ARIMA, Wavelet- ARIMA and machine learning. In: 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), pp. 1–5 (2020). https://doi.org/10.1109/EEEIC/ICPSEurope49358.2020.9160563
4. International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278–3075, vol. 9(5) (2020). D1869029420/2020©BEIESP, https://doi.org/10.35940/ijitee.D1869.039520
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