基于数据挖掘技术的移动通信话务预测模型  

Discussion on mobile communication traffic forecasting model based on data mining technology

作　　者：任君明 

机构地区：[1]中国移动通信集团广东有限公司江门分公司,江门529000

出　　处：《电信工程技术与标准化》2015年第6期79-82,共4页Telecom Engineering Technics and Standardization

摘　　要：本文探讨引入数据挖掘技术和算法,通过3种高精度话务预测模型对某市话务数据建模和预测验证,探析3种模型的实际误差和适用场景,并提出基于数据挖掘技术的移动通信智能话务预测管理平台架构设想,具有较高的推广和应用价值。This thesis discussed how to use data mining technology to establish three kinds of high precision traffic forecasting models, modelled and verified traffic data of one city, and studied of three kinds of model of the actual error and application scenarios. This thesis put forward the mobile communication intelligent traffic forecasting management platform architecture based on data mining, it had high promotion and application value.

关 键 词：话务预测 数据挖掘 回归分析 BP神经网络 ARIMA 

分 类 号：TN929.5[电子电信—通信与信息系统]