| 基于数据挖掘的电力行业客户细分模型分析 |
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| 引用本文： | 宋才华,王永才,蓝源娟,郑锦卿.基于数据挖掘的电力行业客户细分模型分析[J].现代电子技术,2014(14):21-23,27. |
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| 作者姓名： | 宋才华 王永才 蓝源娟 郑锦卿 |
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| 作者单位： | 广东电网佛山供电局信息中心,广东佛山528000 |
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| 摘 要： | 社会经济的不断发展推动了电力行业的快速发展。随着客户细分理论与方法的发展,其已广泛应用于我国电力、电信、银行及零售业等行业的营销实践中。由于客户行为能有效、直接地反映出消费者的需求,在经济市场中的应用更为广泛,是市场细分中的最佳起点。主要以客户细分的概述为出发点,对电力客户细分现状、基于数据挖掘的客户细分及模型构建进行探讨。
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| 关 键 词： | 电力行业 数据挖掘 客户细分 模型构建 |
Analysis of data mining based customer classification model for electric power industry |
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| SONG Cai-hua,WANG Yong-cai,LAN Yuan-juan,ZHENG Jin-qing.Analysis of data mining based customer classification model for electric power industry[J].Modern Electronic Technique,2014(14):21-23,27. |
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| Authors: | SONG Cai-hua WANG Yong-cai LAN Yuan-juan ZHENG Jin-qing |
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| Affiliation: | (Information Center, Foshan Power Supply Bureau, Foshan 528000, China) |
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| Abstract: | The continuous development of social economy promote the rapid development of electric power industry. The theory and method of customer classification has been widely used in Chinese markets of electric power,telecommunications, bank and retail industries. Proceeding from the overview of customer classification,the status quo and model construction of customer classification based on data mining are discussed. |
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| Keywords: | power industry data mining customer classification model construction |
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