Dhaka Stock Exchange Trend Analysis Using Support Vector Regression

Author:

Meesad Phayung,Rasel Risul Islam

Publisher

Springer Berlin Heidelberg

Reference13 articles.

1. Kim, K.: Financial time series forecasting using support vector machines. Neurocomputing 55, 307–319 (2003)

2. Ince, H., Trafalis, T.B.: Kernel Principal Component Analysis and Support Vector Machines for Stock Price Prediction, pp. 2053–2058 (2004) 0-7803-8359-1/04/2004 IEEE

3. Lucas, K., Lai, C., James, N., Liu, K.: Stock Forecasting Using Support Vector Machine. In: Proceedings of the Ninth International Conference on Machine Learning and Cybernetics, pp. 1607–1614 (2010)

4. Lu, C., Chang, C., Chen, C., Chiu, C., Lee, T.: Stock Index Prediction: A Comparison of MARS, BPN and SVR in an Emerging Market. In: Proceedings of the IEEE IEEM, pp. 2343–2347 (2009)

5. Kannan, K.S., Sekar, P.S., Sathik, M.M., Arumugam, P.: Financial Stock Market Forecast using Data Mining Techniques. In: Proceedings of the International Multiconference of Engineers and Computer Scientists, pp. 555–559 (2010)

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1. Stock Market Trend Prediction Based on Text Mining of Corporate Web and Time Series Data;Journal of Advanced Computational Intelligence and Intelligent Informatics;2014-01-20

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