移动蜂窝网络多出口流量数据精准清洗方法  

Efficient Cleaning Method for Multi-outlet Traffic Data in Mobile Cellular Network

作　　者：刘硕 LIU Shuo(Electric Power Research Institute of State Grid Hebei Power Co.,Ltd.,Shijiazhuang 050000,China)

机构地区：[1]国网河北省电力有限公司电力科学研究院,河北石家庄050000

出　　处：《微型电脑应用》2024年第4期198-201,共4页Microcomputer Applications

摘　　要：为了提升移动网络多出口流量数据的清洗精度,降低冗余数据占比,提出移动蜂窝网络多出口流量数据高效清洗方法。依据移动蜂窝网络结构特点以及流量特征,预处理移动蜂窝网络多出口流量数据;利用差分自回归移动平均模型,构建移动蜂窝网络多出口流量数据高效清洗模型;将多出口流量数据四元组作为模型输入,运用优化粗糙集理论的数据约简算法,达到精准清洗移动蜂窝网络多出口流量数据的目的。实验证明该方法可通过流量数据预处理降低冗余数据占比,可降低流量数据输出出错率,提高了移动网络多出口流量数据的清洗精度。In order to improve the cleaning accuracy of multi-egress traffic data of mobile network and reduce the proportion of redundant data,an efficient cleaning method of multi-egress traffic data of mobile cellular network is proposed.According to the structural characteristics and traffic characteristics of the mobile cellular network,the multi-egress traffic data of the mobile cellular network are preprocessed.The differential autoregressive moving average model is used to construct an efficient cleaning model for the multi-egress traffic data of the mobile cellular network.The multi-egress traffic data quadruple is used as the model input,the data reduction algorithm of optimized rough set theory is used to achieve the purpose of accurately cleaning the multi-egress traffic data of the mobile cellular network.Experiments show that this method can reduce the proportion of redundant data through traffic data preprocessing;it can reduce the error rate of traffic data output,and improve the cleaning accuracy of the mobile network multi-export traffic data.

关 键 词：移动蜂窝网络 流量数据 清洗模型 网络流量特征 数据预处理 粗糙集 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]