A Novel Feature Selection Approach Using Classification Complexity for SVM of Stock Market Trend Prediction
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/4421806/4421807/04422080.pdf?arnumber=4422080
Cited by 6 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. STGV-Similarity between trend generating vectors: A new sample weighting scheme for stock trend prediction using financial features of companies;Expert Systems with Applications;2023-03
2. Stock Market Analysis & Prediction;2021 International Conference on Forensics, Analytics, Big Data, Security (FABS);2021-12-21
3. Improved Stock Price Prediction by Integrating Data Mining Algorithms and Technical Indicators: A Case Study on Dhaka Stock Exchange;Computational Collective Intelligence;2017
4. Dhaka Stock Exchange Trend Analysis Using Support Vector Regression;The 9th International Conference on Computing and InformationTechnology (IC2IT2013);2013
5. An Intelligent and Dynamic Decision Support System for Nonlinear Environments;International Journal of Intelligent Information Technologies;2012-10
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