| 潜在流失客户的发掘模型探讨 |
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| 引用本文： | 马辉民,尹汉斌,郭潇.潜在流失客户的发掘模型探讨[J].华中科技大学学报(自然科学版),2003,31(9):28-30. |
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| 作者姓名： | 马辉民 尹汉斌 郭潇 |
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| 作者单位： | 1. 华中科技大学,管理学院
2. 西华师范大学,数学系 |
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| 基金项目： | 国家自然科学基金资助项目 (70 0 710 11) . |
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| 摘 要： | 提出了一个基于数据挖掘技术的解决方案，首先运用C4．5决策树算法识别客户的客观指标集合，然后对这些客观指标进行偏差分析，建立时间序列模型预测流失客户。
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| 关 键 词： | 客户保持 偏差分析 数据掺掘 客户流失 |
| 文章编号： | 1671-4512(2003)09-0028-03 |
| 修稿时间： | 2002年9月11日 |
The mining model of defecting customers |
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| Ma HuiminYin HanbinGuo XiaoAssociate Prof., College of Management,Huazhong Univ. of Sci. & Tech.,Wuhan ,China..The mining model of defecting customers[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2003,31(9):28-30. |
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| Authors: | Ma HuiminYin HanbinGuo XiaoAssociate Prof College of Management Huazhong Univ of Sci & Tech Wuhan China |
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| Institution: | Ma HuiminYin HanbinGuo XiaoAssociate Prof., College of Management,Huazhong Univ. of Sci. & Tech.,Wuhan 430074,China. |
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| Abstract: | This paper provided a solution to the customer defection based on data mining techniques. C4.5 decision tree algorithm was used to identify objective indicators of customer, then the deviation of these indicators was detected. Finally, a time series model was constructed to predict the defecting customers. This article applied data mining correlative techniques in analyzing potential cosing customers, and could help enterprises to make decision of customer retention. |
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| Keywords: | customer retention deviation detection data mining customer defecting |
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