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Financial Data Mining Based on Support Vector Machines and Ensemble Learning

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4 Author(s)
Shi Lei ; Coll. of Inf. & Manage. Sci., HeNan Agric. Univ., Zhengzhou, China ; Ma Xinming ; Xi Lei ; Hu Xiaohong

With the rapid development of e-commerce, financial data mining has been one of the most important research topics in the data mining community. Support vector machines (SVMs) and ensemble learning are two popular techniques in the machine learning field. In this paper, support vector machines and ensemble learning are used to classify financial data respectively. The experiments conducted on the public dataset show that compared with SVMs, ensemble learning achieves obvious improvement of performance.

Published in:

Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on  (Volume:2 )

Date of Conference:

11-12 May 2010