移动通信流动客户识别理论研究与应用

发布时间：2018-04-10 12:58

本文选题：移动通信流动客户 + 识别模型　；参考：《北京邮电大学》2012年硕士论文

【摘要】：随着发展速度越来越快的信息革命,市场竞争逐渐规范化、开放化、成熟化,现代世界经济已逐步步入电子商务时代。以客户为根、以服务为本的市场战略也潜移默化的改变了传统的以以产品为中心的市场战略。把握客户的需求趋势、加强与客户的联系、有效管理和发掘客户、保持客户,才能为企业创造更多利润和可持续发展的动力。目前中国的流动人口规模超过2.6亿,成为一个不可忽视的特殊群体。流动人口规模不断扩大,流动性增强,关注移动通信流动客户、关心流动务工人员,为其提供有针对性的、质优价低的通信服务,是当前社会经济形势下构建和谐社会的重要问题。本文尝试利用数据挖掘技术找出该部分人员的特征和规律,构建移动通信流动客户识别模型,并探讨相关应用。主要研究内容有：分析流动人口中常用中国移动品牌特点并总结移动通信流动客户的订购业务及行为特征；利用决策树算法构建流动客户识别模型,找出辨识流动客户的关键变量并构建模型规则表；依托河南移动经营分析系统,利用ETL工具将模型实现,并展示识别效果。通过建立流动客户识别模型,移动公司将该模型应用于经营分析系统。各地根据本地流动人口特点,积极开展了营销工作,结合流动客户基础和深度分析,进行流动客户规模监控,针对性资费设计和营销提高,提升流动客户专项活动办理率,提高了服务质量,增强了客户满意度,保持了社会的和谐稳定。
[Abstract]:With the rapid development of the information revolution, the market competition is gradually standardized, open and mature, the modern world economy has gradually entered the era of electronic commerce.Customer-based, service-based market strategy has changed the traditional product-centered market strategy.Grasp the customer's demand trend, strengthen the contact with the customer, effectively manage and explore the customer, keep the customer, can create more profit and the motive force of the sustainable development for the enterprise.At present, the floating population in China exceeds 260 million, becoming a special group that can not be ignored.The size of the mobile population continues to expand and mobility increases. It pays attention to mobile communication mobile customers, cares about mobile workers, and provides them with targeted, high-quality and low-priced communications services.Is the current social and economic situation under the construction of a harmonious society an important issue.This paper attempts to use data mining technology to find out the characteristics and rules of this part of the personnel, build mobile communication mobile customer identification model, and discuss the relevant applications.The main research contents are as follows: analyzing the characteristics of China Mobile Brand in common use in the mobile population and summarizing the order business and behavior characteristics of mobile customers; using decision tree algorithm to construct mobile customer identification model.The key variables of identifying mobile customers are found and the model rules table is constructed. Based on Henan Mobile Business Analysis system, the model is realized by using ETL tool, and the recognition effect is demonstrated.By establishing the mobile customer identification model, the mobile company applies the model to the business analysis system.According to the characteristics of the local floating population, various localities have actively carried out marketing work, combined with the basis and in-depth analysis of mobile customers, to monitor the scale of mobile customers, to design and improve targeted tariff and marketing, and to enhance the handling rate of special activities for mobile customers.Improve service quality, enhance customer satisfaction, maintain social harmony and stability.
【学位授予单位】：北京邮电大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：F626

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