Research Article
Telecom Big Data Based User Analysis and Application in Telecom Industry
@INPROCEEDINGS{10.1007/978-3-319-72823-0_11, author={Guanglu Shao and Weiwei Chen and Xinzhou Cheng and Lexi Xu and Tao Zhang and Chen Cheng}, title={Telecom Big Data Based User Analysis and Application in Telecom Industry}, proceedings={5G for Future Wireless Networks. First International Conference, 5GWN 2017, Beijing, China, April 21-23, 2017, Proceedings}, proceedings_a={5GWN}, year={2018}, month={1}, keywords={Telecom big data 4G Telecom operator Data mining User portrait}, doi={10.1007/978-3-319-72823-0_11} }- Guanglu Shao
Weiwei Chen
Xinzhou Cheng
Lexi Xu
Tao Zhang
Chen Cheng
Year: 2018
Telecom Big Data Based User Analysis and Application in Telecom Industry
5GWN
Springer
DOI: 10.1007/978-3-319-72823-0_11
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.
