Decision Support System for Investment in Stock Market using OAA-SVM
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RaduIacomin. Stock Market Prediction. Romani: Faculty of Automatic Control and Computers University POLITEHNICA of Bucharest, Romania. 2016. p. 200-205.
Sabaithip Boonpeng and Piyasak Jeatrakul. Decision Support System for Investing in Stock Market by using OAA-Neural Network School of Information Technology Mae Fah Luang University Muang, Chiang Rai, IEEE digital xplore , 11 April 2016.
Binoy B Nair, Mohana Dharini N, Mohandas VP. A Stock market trend prediction system using a hybrid decision tree-neuro-fuzzy system. Coimbatore - 641105, Tamilnadu, India: Department of Electronics and Communication Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham. IEEE xplore. Oct 2010.p.16-17
Qiu Mingyue, Li Cheng, Song Yu. Application of the Artificial Neural Network in predicting the direction of stock market index. Fukuoka, Japan: Department of System Management, Fukuoka Institute of Technology.
Xiaowei Yang, Qiaozhen Yu, Lifang He, Teng Jiao Guo.The one-against-all partition based binary tree support vector machine algorithms for multi-class classification. Guangzhou 510641, PR China: School of Computer Science and Engineering, South China University of Technology. August 2013: (113):1-7.
Guobin Ou, Yi Lu Murphey. Multi-class pattern classification using neural networks. Dearborn, USA: Department of Electrical and Computer Engineering, The University of Michigan-Dearborn. 2006
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