| 数据挖掘技术在CRM中的应用研究 |
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| 引用本文： | 费玲玲,李云辉,李繁.数据挖掘技术在CRM中的应用研究[J].成都纺织高等专科学校学报,2012,29(2):26-30. |
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| 作者姓名： | 费玲玲 李云辉 李繁 |
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| 作者单位： | 1. 成都纺织高等专科学校电子信息与电气工程系,成都,611731
2. 四川省委党校四川行政学院信息技术部,成都,610071 |
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| 摘 要： | 介绍了数据挖掘技术和CRM的基本概念,分析了数据挖掘技术在CRM中的应用,并着重对决策树技术进行了研究。针对SPRINT算法在数值型属性分裂过程中计算量大、效率低的缺点,提出了一种新的数值型属性的分裂方法,并对SPRINT算法进行了改进,并用改进的SPRINT算法构建了客户信用卡的分类模型。
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| 关 键 词： | 数据挖掘 客户关系管理 决策树 SPRINT 客户分类 |
Application Research of Data Mining Technique in CRM |
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| FEI Ling - ling,LI Yun - hui,LI Fan.Application Research of Data Mining Technique in CRM[J].Journal of Chengdu Textile College,2012,29(2):26-30. |
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| Authors: | FEI Ling - ling LI Yun - hui LI Fan |
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| Affiliation: | 1. Electronic Information and Electric Engineering Department, Chengdu Textile College, Chengdu 611731; 2. Department of Information Technology, Sichuan Party School, Sichuan Administration Institute, Chengdu 610071 ) |
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| Abstract: | Basic concepts of data mining and CRM were introduced, the application of data mining tech- nique in CRM was analyzed and the decision tree technique was emphasized. In order to reduce huge computa- tion and improve efficiency, a new splitting method--SPRINT algorithm was brought forward and customer classification model based on improved SPRINT algorithm was constructed. |
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| Keywords: | data mining CRM decision tree SPRINT customer classification |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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