终端数据挖掘技术研究  

Research of Terminal Data Mining Technology

作　　者：路玮[1] 李轶群[1] 李佳俊[1] 王蕴实[1] Lu Wei;Li Yiqun;Li Jiajun;Wang Yunshi(China Unicom Network Technology Research Institute,Beijing 100048,China)

机构地区：[1]中国联通网络技术研究院

出　　处：《邮电设计技术》2019年第10期62-65,共4页Designing Techniques of Posts and Telecommunications

摘　　要：随着5G时代的到来,通信行业进入快速发展阶段。扩大终端销售规模成为运营商拓展市场的战略重心,同时终端换机需求量越来越大,终端换机数量呈增长趋势。通过数据挖掘技术对终端换机业务进行数据分析,运用决策树算法预测用户换机变量因子,挖掘潜在换机用户需求,为终端销售提供准确依据。With the advent of 5G,the communication industry has entered a rapid development stage. The expansion of terminal sales scale has become the strategic focus for operators to expand the market. At the same time,the demand for terminal replace- ment is increasing,and the data volume of terminal replacement is increasing. Data mining technology is used to analyze the data of terminal replacement business. Decision tree algorithm is used to predict the variable factors of user replacement, which can excavate the potential replacement user demand,and provide accurate basis for terminal sales.

关 键 词：终端换机 数据挖掘 决策树 

分 类 号：TN929.5[电子电信—通信与信息系统]