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A Novel Big Data Assisted Analysis Architecture for Telecom Operator

Authors :
Chuntao Song
Kun Chao
Xinzhou Cheng
Jian Guan
Xin He
Lexi Xu
Yong Zhang
Source :
2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS).
Publication Year :
2019
Publisher :
IEEE, 2019.

Abstract

Information technology development leads to the data explosion in many industries. In the era of big data, telecom operator stores huge amount of data, namely telecom big data. Telecom operator can employ data mining and analysis to seek the valuable information from telecom big data. In this paper, we design a novel big data assisted analysis architecture for telecom operator. The proposed architecture collects operation support system data and business support system data of telecom operator. Based on these data, the architecture draws the portrait of each user. Then, the user trajectory is analyzed. Furthermore, the proposed architecture takes the service behavior analysis. Finally, we apply the proposed big data assisted analysis architecture to the local telecom operator.

Details

Database :
OpenAIRE
Journal :
2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS)
Accession number :
edsair.doi...........d1ba1b01c70903ce415843cf6e48ab23