A Method for Determining the Accuracy of Stock Prices using Gradient Boosting and the Support Vector Machines Algorithm-Reference-Cited by-同舟云学术

A Method for Determining the Accuracy of Stock Prices using Gradient Boosting and the Support Vector Machines Algorithm

Published:2022-10-20 Issue: Volume: Page:
ISSN:
Container-title:2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)
language:
Short-container-title:

Author:

Reddy P. Varshitha¹,Kumar S. Magesh¹

Affiliation:

1. Saveetha Institute of Medical and Technical Sciences, Saveetha University,Saveetha School of Engineering,Department of Computer Science and Engineering,Chennai,Tamilnadu,India,602105

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9951706/9951861/09952143.pdf?arnumber=9952143

Reference10 articles.

1. Intensit y prediction of tropical cyclone using multilayer multi-block local binary pattern and tree-based classifiers over Nort h Indian Ocean;kar,2021

2. Stock Market Prediction using Hidden Markov Model and Neural Network

3. Machine Learning Approaches in Stock Price Prediction: A Systematic Review

4. S_I_LSTM: stock price prediction based on multiple data sources and sentiment analysis

5. Mobile Phones: The Next Step towards Healthcare Delivery in Rural India?

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. An IoT Real-Time Potable Water Quality Monitoring and Prediction Model Based on Cloud Computing Architecture;Sensors;2024-02-11

2. Monitoring and Prediction Model of Drinking-Water Quality Based on IoT Architecture;2023 IEEE 5th Eurasia Conference on IOT, Communication and Engineering (ECICE);2023-10-27

3. Anomaly Based Intrusion Detection System: A Deep Learning Approach;2023 International Symposium on Networks, Computers and Communications (ISNCC);2023-10-23