Marketing risk prediction based on the support vector machine

被引：0
|
作者：
Zhang Yunqi [1 ]
Wang Jiajun [2 ]
Li Tengfei [3 ]
机构：
[1] Shandong Inst Business & Technol, Sch Management, Jinan 264005, Shandong, Peoples R China
[2] Qingdao Univ Sci & Technol, Sch Management, Qingdao 266061, Peoples R China
[3] Tianjin Univ, Sch Comp Software, Tianjin 30072, Peoples R China
来源：
ADVANCES IN MANAGEMENT OF TECHNOLOGY, PROCEEDINGS | 2007年
关键词：
support vector machine; marketing risk; prediction;
D O I：
暂无
中图分类号：
F8 [财政、金融];
学科分类号：
0202 ;
摘要：
Support Vector Machine (SVM) is a new study method which is proposed based on the statistical Learing Theory(SLT). Through making systematized learning and analysis on many creditable maketing information, using the thought of Support Vector Machine, it establishes the model of risk prsdiction and analysis, which can analyse these original information. And then it gets the valuable information about category and the level of the risk, which supports the basis for choosing and making correct decesion on risk management.
引用
收藏
页码：135 / +
页数：2
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