| 基于聚类算法的零售业CRM数据挖掘的应用 |
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| 引用本文： | 张秋霞. 基于聚类算法的零售业CRM数据挖掘的应用[J]. 现代计算机, 2004, 0(9): 81-83 |
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| 作者姓名： | 张秋霞 |
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| 作者单位： | 大连铁道学院电气信息工程分院 大连116028 |
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| 摘 要： | 把数据挖掘中K-中心点聚类算法应用于基于客户价值矩阵的客户价值细分中,建立一种零售业客户细分方法,为零售超市客户保持和营销提供决策依据,并用样本进行实验,得出结论.
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| 关 键 词： | 数据挖掘 聚类 K-中心点算法 客户价值矩阵 |
Application of Retail-CRM Data Mining based on Clustering Algorithms |
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| ZHANG Qiu-xia. Application of Retail-CRM Data Mining based on Clustering Algorithms[J]. Modem Computer, 2004, 0(9): 81-83 |
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| Authors: | ZHANG Qiu-xia |
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| Abstract: | The thesis applies K-modes clustering to customer value segmentation based on customer value matrix and brings forward a retail customer segmentation method which can provide decision bases for retail customer maintenance and marketing.It also makes an experiment with samples and draws the conclusion. |
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| Keywords: | Data Mining Clustering K-modes Algorithm Customer Value Matrix |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
