Machine Learning-Based Timeseries Analysis for Cryptocurrency Price Prediction: A Systematic Review and Research-Reference-Cited by-同舟云学术

Machine Learning-Based Timeseries Analysis for Cryptocurrency Price Prediction: A Systematic Review and Research

Published:2023-04-05 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Networking and Communications (ICNWC)
language:
Short-container-title:

Author:

Kumar.A Siva¹,Pv Gopirajan²,Jackson Beulah³

Affiliation:

1. SRM Institute of Science and Technology,Kattankulathur Campus,School of Computing,Department of Data Science and Business Systems,Chennai,India,603203

2. SRM Institute of Science and Technology, Kattankulathur Campus,School of Computing,Department of Computational Intelligence,Chennai,India,603203

3. Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology,Department of ECE,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10127222/10127226/10127439.pdf?arnumber=10127439

Reference27 articles.

1. The role of interpersonal trust in cryptocurrency adoption;jalan;Journal of International Financial Markets Institutions and Money,2022

2. On the economic significance of ransomware campaigns: A Bitcoin transactions perspective;conti;Computer,2018

3. Cryptocurrency trading and its associations with gambling and mental health: A scoping review

4. The environmental impact of cryptocurrencies using proof of work and proof of stake consensus algorithms: A systematic review

5. A Landscape of Cryptocurrencies

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Empowering global ethereum price prediction with EtherVoyant: a state-of-the-art time series forecasting model;Neural Computing and Applications;2024-08-27

2. Enhancing Bitcoin Price Volatility Estimator Predictions: A Four-Step Methodological Approach Utilizing Elastic Net Regression;Mathematics;2024-05-02

3. A Spatial-temporal Neural Network for Photovoltaic Power Prediction;2023 13th International Conference on Power and Energy Systems (ICPES);2023-12-08