| 粗糙集的特征选择在客户关系管理中的应用 |
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| 引用本文： | 李菊,王军,王兴.粗糙集的特征选择在客户关系管理中的应用[J].计算机工程与设计,2008,29(22). |
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| 作者姓名： | 李菊 王军 王兴 |
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| 作者单位： | 1. 常熟理工学院,计算机科学与工程学院,江苏,常熟,215500
2. 南京信息工程大学,计算机与软件学院,江苏,南京,210044 |
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| 摘 要： | 介绍了粗糙集理论的特征选择在客户关系管理中的应用.分析了以前特征选择方法中由于特征数目过多而造成分类时间和精度不高的缺点,提出了一种基于粗糙集的特征选择方法,其特点是以特征在分类中的重要性对特征进行选择.对客户关系管理进行了研究,为解决客户关系管理问题提出了一个新的方法,基于粗糙集的特征选择方法与传统的特征选择方法相比也能达到降维的目的.最后实验结果表明该算法是可行的.
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| 关 键 词： | 粗糙集理论 特征选择 客户关系管理 属性约简 属性重要性 |
Rough set-based approach to feature selection in customer relationship management |
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| LI Ju,WANG Jun,WANG Xing.Rough set-based approach to feature selection in customer relationship management[J].Computer Engineering and Design,2008,29(22). |
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| Authors: | LI Ju WANG Jun WANG Xing |
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| Affiliation: | LI Ju1,WANG Jun2,WANG Xing2(1.School of Computer Science , Engineering,Changshu Institute of Technology,Changshu 215500,China,2.College of Computer Science , Software,Nanjing University of Information , Science Technology,Nanjing 210044,China) |
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| Abstract: | Application of the rough set theory(RST) to feature selection in customer relationship management(CRM) is introduced.The disadvantages of feature selection methods which causes the low of times and accuracy of text categorization because of many features is analyzed.A feature selection method based on rough set is proposed.It is the characteristic of the method that features based on the importance in the text categorization are selected.The customer relations management is researched,a new method for the s... |
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| Keywords: | rough set theory feature selection customer relationship management attribute reduction attribute importance |
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