| 基于GA-SVM的银行客户流失预测分析 |
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| 引用本文： | 张稳,张丽丽.基于GA-SVM的银行客户流失预测分析[J].计算机与数字工程,2010,38(4):55-58. |
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| 作者姓名： | 张稳 张丽丽 |
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| 作者单位： | 1. 南京军区南京总医院,南京,210002
2. 南京军区南京总医院,南京,210002;解放军博士后管理信息中心,南京,210002 |
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| 摘 要： | 客户流失分析与预测是客户关系管理的重要内容。根据银行实际客户流失数据中正负样本数量不平衡而且数据量大的特点,采用遗传算法对传统支持向量机进行改进,得到GA-SVM模型,并以国内某商业银行VIP客户流失预测为实例,与人工神经网络、决策树、逻辑回归和贝叶斯分类器方法进行了对比,发现该方法能获得最好的正确率、命中率、覆盖率和提升系数,是预测现有客户流失倾向的有效方法。
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| 关 键 词： | 客户流失 支持向量机 遗传算法 客户关系营销 预测 |
Bank's Customers Churn Prediction Based on GA-SVM Model |
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| Zhang Wen Zhang Lili.Bank's Customers Churn Prediction Based on GA-SVM Model[J].Computer and Digital Engineering,2010,38(4):55-58. |
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| Authors: | Zhang Wen Zhang Lili |
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| Affiliation: | Nanjing General Hospital of Nanjing Military Command1;Center of Postdoctoral Management Information/a>;P.L.A.2 |
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| Abstract: | According to the churn data which is large scale and imbalance,and the conventional SVM is improved by the genetic algorithm.The method was compared with artificial neural network,decision tree,logistic regression and naive bayesian classifier regarding customer churn prediction for a commercial bank's VIP customers.It is found that the method has the best accuracy rate,hit rate,covering rate and lift coefficient,and provides an effective measurement for bank's customer churn prediction. |
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| Keywords: | customers churn support vector machine genetic algorithm customer relation marketing prediction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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