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 clean-ing 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 redun-dant data through traffic data preprocessing;it can reduce the error rate of traffic data output,and improve the cleaning accura-cy 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
Key words
mobile cellular network/flow data/cleaning model/network traffic characteristic/data preprocessing/rough set
维普
万方数据