| 基于聚类挖掘的移动资费体系研究与设计 |
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| 引用本文： | 王显明.基于聚类挖掘的移动资费体系研究与设计[J].贵州大学学报(自然科学版),2009,26(6):104-107. |
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| 作者姓名： | 王显明 |
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| 作者单位： | 贵州大学,计算机科学与信息学院,贵州,贵阳,550025;中国移动贵州公司,贵州,贵阳,550002 |
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| 摘 要： | 资费套餐体系是电信运营商核心竞争力之一，首先分析移动运营商现行资费套餐存在的问题，然后运用数据挖掘中的聚类分析方法，通过对移动经营分析系统中真实的客户通信数据的挖掘，建立客户消费需求细分模型，最后结合资费设计原则和移动运营策略，研究分析提出了一整套全新的移动资费体系，提高了客户满意度、移动运营商的竞争力和经营效益。
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| 关 键 词： | 数据挖掘 聚类 客户细分 资费体系 |
Research and Design of Mobile Tariff System Based on Clustering Mining |
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| WANG Xian-ming.Research and Design of Mobile Tariff System Based on Clustering Mining[J].Journal of Guizhou University(Natural Science),2009,26(6):104-107. |
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| Authors: | WANG Xian-ming |
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| Institution: | WANG Xian-ming ( 1. College of Computer Science and Information, Guizhou University, Guiyang 550025, China; 2. China Mobile Communication Group, Guizhou Co. Ltd, Guiyang 550002, China) |
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| Abstract: | The problems in the existing tariff packages were firstly analyzed. Then Data Mining Cluster Analysis method was used, by Mobile Business Analysis Supporting System in real customer communications data mining, to build customer subdivision model of consumer demand. Finally in combination with tariff design principles and mobile operator strategy, through research and analysis, a set of brand new mobile tariff system was proposed. It will improve customer satisfaction, mobile operators, the competitiveness and operating efficiency. |
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| Keywords: | data mining clustering customer subdivision tariff system |
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