A comparison of two data mining techniques to predict abnormal stock market returns
Author:
Affiliation:
1. Department of Mathematics, California State University, Long Beach, 1250 Bellflower Blvd., Long Beach, CA 90840-1001, USA. Tel.: ; Fax: ; E-mail: asafer@csulb.edu
Publisher
IOS Press
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science
Cited by 4 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. Application and performance of data mining techniques in stock market: A review;Intelligent Systems in Accounting, Finance and Management;2022-08-31
2. An Improved Probabilistic Neural Network Model for Directional Prediction of a Stock Market Index;Applied Sciences;2019-12-06
3. Notes;Evidence-Based Technical Analysis;2011-12-07
4. Modified Neural Network Algorithms for Predicting Trading Signals of Stock Market Indices;Journal of Applied Mathematics and Decision Sciences;2009-06-17
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