| 基于多准则神经网络与分类回归树的电信行业异动客户识别系统 |
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| 引用本文： | 姚敏,沈斌,李明芳. 基于多准则神经网络与分类回归树的电信行业异动客户识别系统[J]. 系统工程理论与实践, 2004, 24(5): 78-83. DOI: 10.12011/1000-6788(2004)5-78 |
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| 作者姓名： | 姚敏 沈斌 李明芳 |
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| 作者单位： | (1)浙江大学计算机学院;(2)南京大学计算机软件新技术国家重点实验室 |
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| 基金项目： | 国家自然科学基金(79970037) |
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| 摘 要： | 以电信行业为应用对象,建立了一种基于多准则神经网络(MCNN)与分类回归树(CART)的的异动客户识别系统.该系统首先用多准则神经网络对客户属性进行约简,然后构造用于识别异动客户的分类回归树.通过对浙江省电信系统的大客户数据的实际验证,结果表明该系统具有较好的鲁棒性和有效性.
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| 关 键 词： | 分类回归树 人工神经网络 多准则 异动客户 数据挖掘 |
| 文章编号： | 1000-6788(2004)05-0078-06 |
| 修稿时间： | 2003-05-26 |
A Kind of Unusual Customers Recognition System Based on Multi-criteria Neural Network and CART in Telecom System |
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| YAO Min,SHEN Bin,LI Ming-fang. A Kind of Unusual Customers Recognition System Based on Multi-criteria Neural Network and CART in Telecom System[J]. Systems Engineering —Theory & Practice, 2004, 24(5): 78-83. DOI: 10.12011/1000-6788(2004)5-78 |
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| Authors: | YAO Min SHEN Bin LI Ming-fang |
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| Affiliation: | (1)College of Computer Science,Zhejiang University;(2)Nanjing university |
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| Abstract: | As the telecom system an application object, this paper presents a kind of unusual customers recognition system based on multi|criteria neural networks (MCNN) and classification and regression tree (CART) in telecommunication system. The system reduces customers' attribute by multi|criteria neural networks first. Then it constructs classification and regression trees to recognize unusual customers. Through actual validating to large customer data in Zhejiang telecom system, the results indicate that this system is more robustious and more effective. |
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| Keywords: | CART artificial neural networks multi-criteria unusual customers data mining |
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