Method and device for predicting flow of mobile terminal equipment and computing equipment

The invention discloses a method and device for predicting the traffic of mobile terminal equipment and computing equipment, and the method comprises the steps: obtaining the traffic usage statistical data, which takes a unit time period as the time granularity, of the mobile terminal equipment based on the traffic usage data of the mobile terminal equipment; obtaining an original data set for a machine learning algorithm based on the traffic usage amount statistical data; and predicting the traffic usage amount of the mobile device terminal in the next unit time period by using the machine learning algorithm based on the original data set for the machine learning algorithm. According to the method, the traffic usage amount of the mobile terminal equipment is predicted by adopting the machine learning algorithm, the method is not limited by spatial geographic positions, and accurate prediction of the traffic usage amount of the mobile terminal equipment is realized. 本发明公开了一种移动终端设备流量的预测方法、装置及计算设备，其中，该方法包括：基于移动