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支持向量机在商业银行客户管理中的应用研究
引用本文:王凯,贺国平,侯伟真.支持向量机在商业银行客户管理中的应用研究[J].微电子学与计算机,2007,24(1):52-54,58.
作者姓名:王凯  贺国平  侯伟真
作者单位:1. 凯里学院,数学与计算机科学系,贵州,凯里,556000
2. 山东科技大学,信息科学与工程学院,山东,青岛,266510
摘    要:文章将多项式光滑的支持向量机(PSSVM)应用到信用评估中,设计了通用的银行个人信用特征数据,研究了PSSVM在个人信用评估中的应用,实证结果表明,PSSVM具有较好的分类预测能力。

关 键 词:客户关系管理  数据挖掘  支持向量机  客户分类  属性选择
文章编号:1000-7180(2007)01-0052-03
修稿时间:2005-07-28

Customer Management of Commercial Banks Based on Polynomial Smooth Support Vector Machine
WANG Kai,HE Guo-ping,HOU Wei-zhen.Customer Management of Commercial Banks Based on Polynomial Smooth Support Vector Machine[J].Microelectronics & Computer,2007,24(1):52-54,58.
Authors:WANG Kai  HE Guo-ping  HOU Wei-zhen
Affiliation:1. Department of Mathematics and Computer Science, Kaili College, Kaih 556000, China;2. College of Information Science and Engineering, SUST, Qingdao 266510, China
Abstract:In this paper, polynomial smooth support vector machine(PSSVM) is applied to credit evaluation, the general bank personal credit characteristic data is designed, and the application of PSSVM in personal credit evaluation is studied. The practical result has indicated that PSSVM has good classified forecast ability.
Keywords:Customer relation  Data mining  Support vector machine  Customer classification  Feature selection
本文献已被 CNKI 维普 万方数据 等数据库收录!
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