Open Access
| Issue |
MATEC Web Conf.
Volume 392, 2024
International Conference on Multidisciplinary Research and Sustainable Development (ICMED 2024)
|
|
|---|---|---|
| Article Number | 01163 | |
| Number of page(s) | 21 | |
| DOI | https://doi.org/10.1051/matecconf/202439201163 | |
| Published online | 18 March 2024 | |
- Tiwary, Sidharth, and Pramod K. Mishra. “Time-series Forecasting of Stock Prices using ARIMA: A Case Study of TESLA and NIO.” [Google Scholar]
- Liu, Peiqi. “Time Series Forecasting Based on ARIMA and LSTM.” 2022 2nd International Conference on Enterprise Management and Economic Development (ICEMED 2022). Atlantis Press (2022). [Google Scholar]
- Zhao, Cheng, et al. “Stock market analysis using time series relational models for stock price prediction.” Mathematics 11.5 (2023): 1130 [CrossRef] [Google Scholar]
- Umer, Muhammad, Muhammad Awais, and Muhammad Muzammul. “Stock market prediction using machine learning (ML) algorithms.” ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal 8.4 (2019): 97-116. [CrossRef] [Google Scholar]
- Han, Kuk-Hyun, and Jong-Hwan Kim. “Genetic quantum algorithm and its application to combinatorial optimization problem.” Proceedings of the 2000 congress on evolutionary computation . CEC00 (Cat. No. 00TH8512). Vol. 2. IEEE (2000). [Google Scholar]
- Min, Jae H., and Young-Chan Lee. “Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters.” Expert systems with applications28.4 (2005): 603-614. [CrossRef] [Google Scholar]
- A. Gupta and B. Dhingra, “Stock market prediction using Hidden Markov Models,” 2012 Students Conference on Engineering and Systems, Allahabad, India (2012), pp. 1-4, doi: 10.1109/SCES.2012.6199099. [Google Scholar]
- Mehtab, Sidra, and Jaydip Sen. “Stock price prediction using convolutional neural networks on a multivariate time series.” arXiv preprint arXiv:2001.09769 (2020). [Google Scholar]
- Dwivedi, Subhash Arun, et al. “Analysis and forecasting of Time-Series data using SARIMA, CNN and LSTM.” 2021 international conference on computing, communication, and intelligent systems (icccis). IEEE (2021). [Google Scholar]
- Ariyo, Adebiyi A., Adewumi O. Adewumi, and Charles K. Ayo. “Stock price prediction using the ARIMA model.” 2014 UKSim-AMSS 16th international conference on computer modelling and simulation. IEEE (2014). [Google Scholar]
- I. Parmar et al., “Stock Market Prediction Using Machine Learning,” 2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC), Jalandhar, India, (2018), pp. 574-576, doi: 10.1109/ICSCCC.2018.8703332. [Google Scholar]
- Vijh, Mehar, et al. “Stock closing price prediction using machine learning techniques.” Procedia computer science 167 (2020): 599-606. [CrossRef] [Google Scholar]
- B. N. Varaprasad, C. Kundan Kanth, G. Jeevan and Y. K. Chakravarti, “Stock Price Prediction using Machine Learning,” 2022 International Conference on Electronics and Renewable Systems (ICEARS), Tuticorin, India, (2022), pp. 1309-1313, doi: 10.1109/ICEARS53579.2022.9752248. [Google Scholar]
- Strader, Troy J., et al. “Machine learning stock market prediction studies: review and research directions.” Journal of International Technology and Information Management 28.4 (2020): 63-83. [CrossRef] [Google Scholar]
- Antad, Sonali, et al. “Stock Price Prediction Website Using Linear Regression-A Machine Learning Algorithm.” ITM Web of Conferences. Vol. 56. EDP Sciences, (2023). [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.