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SVC算法在客户资源分析中的应用
引用本文:徐岩,祝恒云,吕常魁.SVC算法在客户资源分析中的应用[J].武汉大学学报(工学版),2007,40(4):121-124.
作者姓名:徐岩  祝恒云  吕常魁
作者单位:1. 南京航空航天大学机电学院,江苏,南京,210016
2. 南京工业职业技术学院机械系,江苏,南京,210046
摘    要:研究了SVC算法及其在企业客户资源分析中的应用,得出有关客户资源各种属性特征的量化结果,使企业充分认识客户资源的各种属性特征,辅助企业进行经营决策,达到企业对客户资源的有效管理和结构优化的目的.

关 键 词:支持向量聚类  客户资源管理  聚类
文章编号:1671-8844(2007)04-0121-04
修稿时间:2006-12-06

Application of SVC algorithm to analysis of customer resources
XU Yan,ZHU Hengyun,LU Changkui.Application of SVC algorithm to analysis of customer resources[J].Engineering Journal of Wuhan University,2007,40(4):121-124.
Authors:XU Yan  ZHU Hengyun  LU Changkui
Abstract:The support vector clustering(SVC) algorithm is employed to give a rational analysis of enterprise customer resources; quantitative results on the very property are then derived; it would make enterprise to get the particularities of customer and support the decision-making. Finally, management and optimization of customer resources would be achieved.
Keywords:support vector clustering(SVC)  customer resources management  clustering
本文献已被 CNKI 维普 万方数据 等数据库收录!
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