An improved technique for stock price prediction on real-time exploiting stream processing and deep learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17130-x.pdf
Reference46 articles.
1. Jagwani J, Gupta M, Sachdeva H, Singhal A (2018) “Stock Price Forecasting Using Data from Yahoo Finance and Analysing Seasonal and Nonseasonal Trend”, in. Second Int Conference Intell Computing Control Systems (ICICCS) 2018:462–467. https://doi.org/10.1109/ICCONS.2018.8663035
2. Pandey P, Litoriya R, Tiwari A (2018) A framework for fuzzy modelling in agricultural diagnostics. J Eur des Systèmes Autom 51:203–223. https://doi.org/10.3166/jesa.51.203-223
3. Parmar I et al (2018) “Stock Market Prediction Using Machine Learning”, in. First Int Conference Secure Cyber Computing Commu (ICSCCC) 2018:574–576. https://doi.org/10.1109/ICSCCC.2018.8703332
4. Nourbakhsh Z, Habibi N (2023) Combining LSTM and CNN methods and fundamental analysis for stock price trend prediction. Multimed Tools Appl 82(12):17769–17799. https://doi.org/10.1007/s11042-022-13963-0
5. Soner S, Litoriya R, Pandey P (2021) Exploring Blockchain and Smart Contract Technology for Reliable and Secure Land Registration and Record Management. Wirel Pers Commun 121(4):2495–2509. https://doi.org/10.1007/s11277-021-08833-1
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