Mobile Data Usage Prediction System and Method
The popularization of Long Term Evolution (LTE) leads to the issues of mobile data usage monitoring and prediction. The analyses of these issues can be referred for the deployment of mobile network and the recommendation of customer solutions. However, a great deal of statistical computing power and time is needed for several previous mobile data usage prediction methods. Because large variances may exist among the quantities of mobile data usages from different client devices, the error of mobile data usage prediction may be large. Therefore, this study proposes a mobile data usage prediction method to analyze the historical mobile data usages of target client devices for the prediction of future mobile data usages of target client devices. Then the marketing information can be obtained to client devices in accordance with the predicted mobile data usage, and the income of operator can be increasing. In experimental results, the mobile data records from 565,606 client devices during July of 2014 were collected and analyzed for the evaluation of the proposed method. The accuracy of the proposed method was 87.97% which was higher than previous methods.