Telecom Big Data Based User Analysis and Application in Telecom Industry

Abstract

Due to the fast progress of mobile internet and smart phone, telecom operators store massive telecom big data. In this paper, we utilize telecom big data for the user analysis and application. Initially, this paper studies the content of telecom big data. Then, 360-degree user portrait is drawn via three types of factors, including user’s information, user’s consumption behavior and service behavior. Based on the user portrait, this paper seeks 4G potential users via data mining technique, which includes the business understanding, data preparation, model building, model training, model evaluation and model deployment steps. Based on the 4G potential users, the marketing department can accelerate the transferring process from 2G/3G users to 4G users.