| 基于数据挖掘技术的移动通信行业客户细分 |
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| 引用本文： | 周颖,吕巍,井淼.基于数据挖掘技术的移动通信行业客户细分[J].上海交通大学学报,2007,41(7):1142-1145. |
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| 作者姓名： | 周颖 吕巍 井淼 |
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| 作者单位： | 上海交通大学,安泰经济与管理学院,上海,200052 |
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| 摘 要： | 利用数据挖掘中的误差平方和准则函数的K-Means聚类算法,建立了客户细分模型,为企业进一步制定营销策略提供依据.此方法已经投入运行.实践证明,该方法实用、可操作性强,对支持企业产生了积极的影响.
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| 关 键 词： | 数据挖掘 客户细分 K-Means聚类法 |
| 文章编号： | 1006-2467（2007）07-1142-04 |
| 修稿时间： | 2006-08-11 |
The Research of Customer Segmentation Based on Data Mining in Mobile Telecommunication Industry |
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| ZHOU Ying,L Wei,JING Miao.The Research of Customer Segmentation Based on Data Mining in Mobile Telecommunication Industry[J].Journal of Shanghai Jiaotong University,2007,41(7):1142-1145. |
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| Authors: | ZHOU Ying L Wei JING Miao |
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| Institution: | ZHOU Ying,L(U) Wei,JING Miao |
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| Abstract: | This paper built a customer segmentation model by the rule function of error square sum of K-Means clustering from data mining technology,which can provide a scientific basis for the marketing strategy.It presents a positive effect on enterprises because of its practicability and simplicity. |
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| Keywords: | data mining customer segmentation K-Means cluster |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
