DocumentCode :
2839213
Title :
Classification of the enterprise market competition based on support vector machines
Author :
Hao, Jialong ; Wu, Yanbin
Author_Institution :
Yangquan Coll., Taiyuan Univ. of Technol., Yangquan, China
fYear :
2010
fDate :
26-28 May 2010
Firstpage :
1644
Lastpage :
1647
Abstract :
This paper proposes a method to classify the enterprise marketing competition by using the support vector machines, and has done a preliminary study in the application of the support vector machine theory in the field of economic management. Tests indicate that support vector machines can well solve the problems of the small sample size and the high-dimensional one, and the computational complexity does not depend on space dimension but depends on the number of samples in the support vector.
Keywords :
computational complexity; marketing; support vector machines; computational complexity; economic management; enterprise market competition; support vector machines; Computational complexity; Electronic mail; Equations; Lagrangian functions; Machine learning; Marketing management; Pattern recognition; Support vector machine classification; Support vector machines; Testing; Support vector machines; classification; market competition class;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location :
Xuzhou
Print_ISBN :
978-1-4244-5181-4
Electronic_ISBN :
978-1-4244-5182-1
Type :
conf
DOI :
10.1109/CCDC.2010.5498321
Filename :
5498321
Link To Document :
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