| 针对不平衡数据集的客户流失预测算法 |
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| 引用本文： | 应维云,蔺楠,李秀.针对不平衡数据集的客户流失预测算法[J].系统工程,2008,26(11). |
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| 作者姓名： | 应维云 蔺楠 李秀 |
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| 作者单位： | [1]西安交通大学管理学院,陕西西安710049 [2]上海财经大学国际工商管理学院,上海200433 [3]清华大学国家CIMS工程研究中心,北京100084 |
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| 基金项目： | 国家自然科学基金资且项目
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| 摘 要： | 针对客户关系管理中的客户流失预测问题进行探讨,通过对客户流失数据特点的分析,以及现有预测算法的比较,将数据挖掘方法中的随机森林算法引入客户流失预测,建立预测模型,并在实际的银行业贷款客户数据集上进行实验,得到了较好的效果.
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| 关 键 词： | 客户流失 数据挖掘 客户关系管理 预测 |
The Unbalance Dataset Analysis Algorithm in Customer Churn Prediction |
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| YING Wei-yun,LIN Nan,LI Xiu.The Unbalance Dataset Analysis Algorithm in Customer Churn Prediction[J].Systems Engineering,2008,26(11). |
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| Authors: | YING Wei-yun LIN Nan LI Xiu |
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| Institution: | YING Wei-yun1,LIN Nan2,LI Xiu3(1.School of Management,Xi\'an Jiaotong University,Xi\'an 710049,China,2.Schoolof International Business Administration,Shanghai University of Finance & Economics,Shanghai 200433,3.National CIMS Engineering & Research Center,Tsinghua University,Beijing 100084,China) |
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| Abstract: | This paper focuses on the customer churn prediction in the field of customer relationship management.Based on the characteristics of customer churn data and the comparison of the current prediction algorithms,we introduce random forests algorithm,a new data mining method,into the customer churn prediction and build a prediction model.Applied to a credit debt customer database of a commercial bank,the model is proved to be effective in classifying the churn customers from the loan data. |
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| Keywords: | Customer Churn Data Mining Customer Relationship Management Prediction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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