| 贝叶斯和SVM在物流客户流失分析中的应用 |
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| 引用本文： | 张华娣.贝叶斯和SVM在物流客户流失分析中的应用[J].重庆工学院学报,2009,23(7):134-137. |
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| 作者姓名： | 张华娣 |
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| 作者单位： | 福州大学数学与计算科学学院; |
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| 基金项目： | 福州大学科技发展基金资助项目(2006-XY-19) |
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| 摘 要： | 介绍了客户流失预测的常用方法.基于ORACLE商业智能工具,分别利用贝叶斯法和SVM法对物流客户流失进行预测分析,并对2种方法进行了比较.结果表明,SVM算法的预测效果较好,但Bayes算法具有对数据质量要求不高、算法简单、易于实现、便于直观展现等优势.
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| 关 键 词： | 客户流失分析 贝叶斯 SVM |
Comparison of Bayes and SVM in Logistic Industry Customer Churn Analysis |
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| ZHANG Hua-di.Comparison of Bayes and SVM in Logistic Industry Customer Churn Analysis[J].Journal of Chongqing Institute of Technology,2009,23(7):134-137. |
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| Authors: | ZHANG Hua-di |
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| Affiliation: | College of Mathematics and Computer Science;Fuzhou University;Fuzhou 350002;China |
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| Abstract: | This paper introduces the common method for the prediction of customer churning.Based on ORACLE commercial intelligent tools,this paper uses Bayes and SVM to predict and analyze customer churning on logistic industry,and compares the two methods.Results show that SVM method has better prediction,while Bayes method ahs the advantage of low requirement for data quality,simple calculation,easy implementation,convenient direct display,etc. |
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| Keywords: | customer churn analysis Bayes SVM |
| 本文献已被 CNKI 维普 等数据库收录！ |
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