Predicting Telecommunication User Favorite Package by Using Deep Neural Network-Reference-Cited by-同舟云学术

Predicting Telecommunication User Favorite Package by Using Deep Neural Network

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Networking, Communications and Information Technology (NetCIT)
language:
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Author:

Li Tingshun¹,Yang Huiyu²,Wang Dadi²,Liu Zesan³

Affiliation:

1. North China Electric Power University,School of Control and Computer Engineering,Beijing,China,102206

2. China Power Information Technology Co., Ltd,Beijing,China

3. R & D, State Grid Information & Telecommunication Group Co.,Beijing,China,102211

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9731096/9730894/09731174.pdf?arnumber=9731174

Reference19 articles.

1. Prediction Analysis on Telecom Package based on Improved Stacking Algorithm;bao;Journal of Xi'an University of Posts and Telecommunications,2019

2. Know Your Stars Before They Fall Apart: A Social Network Analysis of Telecom Industry to Foster Employee Retention Using Data Mining Technique;younis;IEEE Access,2020

3. Telecommunications networks and public health responses during the COVID-19 pandemic: Evidence from a large national network operator in Canada;rowsell;23rd ITS Biennial Conference Online Conference / Gothenburg 2021 Digital societies and industrial transformations Policies markets and technologies in a post-Covid world International Telecommunications Society (ITS),2021

4. Profiling high leverage points for detecting anomalous users in telecom data networks

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