基于大数据挖掘的终端换机模型  

Terminal replacement model based on big data mining

作　　者：王雪琼[1] 熊珺洁[1] 姚晓辉[1] 

机构地区：[1]中国电信股份有限公司上海研究院,上海200122

出　　处：《电信科学》2016年第12期43-52,共10页Telecommunications Science

摘　　要：目前,移动终端已成为运营商维系用户、拓展市场的战略重心,提升移动终端销量、扩大终端规模是各运营商的工作重点。基于数据挖掘技术,从用户属性、终端使用信息、终端搜索访问信息等维度出发,挖掘海量用户行为数据价值,建立终端换机模型,具体包括基于决策树算法的用户换机倾向识别模型和基于聚类算法的终端推荐模型,助力移动终端精准营销。In order to incrementally capture, retain and grow the subscriber bases, mobile operators must more effectively maximize the utilization of big data. Promoting the sale of mobile terminals was one of the focus of the operator＇s business currently. By mining the big data of consumer behaviors, including consumers ＇ attributes,mobile terminal information and DPI data, replacing inclination distinguished model was built based on decision tree and recommending model was built based on clustering algorithm to identify target customers.

关 键 词：移动终端营销 数据挖掘 决策树 聚类算法 

分 类 号：F274[经济管理—企业管理]