| 聚类方法在通信行业客户细分中的应用 |
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| 引用本文： | 范英,张忠能,凌君逸. 聚类方法在通信行业客户细分中的应用[J]. 计算机工程, 2004, 30(Z1): 440-441 |
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| 作者姓名： | 范英 张忠能 凌君逸 |
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| 作者单位： | 上海交通大学计算机科学与工程系,上海,200030 |
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| 摘 要： | 通信行业的激烈竞争,使客户细分工作显得越来越重要。该文结合通信行业的实际情况,通过研究数据挖掘的聚类方法,提出了用 K-means聚类算法实现通信行业客户细分,解决了通信行业缺乏细分手段的问题,提高了通信企业的效益和竞争力。
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| 关 键 词： | 客户细分 数据挖掘 聚类 K-means |
| 文章编号： | 1000-3428(2004)增刊-0440-02 |
| 修稿时间： | 2004-08-15 |
Application of Clustering Algorithm in Subdivision of Telecom Clients |
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| FAN Ying,ZHANG Zhongneng,LING Junyi. Application of Clustering Algorithm in Subdivision of Telecom Clients[J]. Computer Engineering, 2004, 30(Z1): 440-441 |
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| Authors: | FAN Ying ZHANG Zhongneng LING Junyi |
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| Abstract: | Under the fierce competition in telecommunications, subdivision of telecom clients becomes more and more important. By researching of clustering algorithm, this article puts forward how to use K-means algorithm to subdivide telecom clients. It solves the lack of measures about subdivision of telecom clients and enhances corporate competitive ability and increases profit margin. |
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| Keywords: | Subdivision of clients Data mining Clustering K-means |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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