【摘要】 针对传统的采集方法在有外界因素干扰的情况下对移动通信网络数据的采集效率低、精度差的问题。提出就云计算的移动通信网络数据采集方法,从移动通信网络设备采集到的时频分布对数据的特征向量进行提取,排除外界的干扰,完成对数据特征向量的有效识别,采用ADASYN算法,去除冗余信息,基于云计算实现对移动通信网络数据精准地采集,实验结果表明,文章提出的方法能够有效地实现移动通信网络数据的采集,精度高,效率好。更多还原

【Abstract】 There is a problem of low efficiency and poor accuracy of data acquisition in mobile communication network; it is caused by the interference from external factors in the traditional collection method. In terms of mobile communication network data acquisition method by cloud computing,the feature vector of data is extracted from time-frequency distribution collected from mobile communication network equipment,data feature vectors are effectively identified by excluding external interference. Using ADASYN algorithm to remove redundant information,the accurate acquisition of the mobile communication network data based on the cloud computing was achieved; the experimental results show that the proposed method can effectively fulfill the mobile communication network data acquisition with high precision and efficiency.更多还原