通信与信息技术Issue(z1)：30-35,6.
基于决策树的低感知用户挖掘方法
A method for mining low-perceived users based on decision trees
摘要
Abstract
In the field of mobile communication,mining low-perceived users is of great significance for optimizing network re-source allocation and improving service quality.This article proposes a mining method based on decision tree to accurately identify low-perceived users in mobile communication networks and analyze their usage behavior and demand characteristics.The method com-bines the characteristics of mobile communication data,first performs data preprocessing and feature extraction,then uses decision tree algorithm to build the model,and achieves the classification and prediction of low-perceived users.The experimental results verify that this method can effectively mine low-perceived users in mobile communication networks,providing important reference for operators and network designers.This research has a certain promoting effect on improving the performance of mobile communication networks,enhancing user experience and promoting the development of mobile communication services.关键词
移动通信/NPS/客户满意度/决策树Key words
Mobile communication/NPS/Customer satisfaction/Decision tree分类
信息技术与安全科学引用本文复制引用
吴亚楠,尉燕..基于决策树的低感知用户挖掘方法[J].通信与信息技术,2023,(z1):30-35,6.基金项目
2022-2023年四川移动博士后科研工作站新技术研究项目(项目编号:R22109V6) （项目编号:R22109V6）
