A machine learning approach for predictive maintenance for mobile phones service providers-Reference-Cited by-同舟云学术

A machine learning approach for predictive maintenance for mobile phones service providers

Published:2016-10-22 Issue: Volume: Page:717-726
ISSN:2367-4512
Container-title:Advances on P2P, Parallel, Grid, Cloud and Internet Computing
language:
Short-container-title:

Author:

Corazza Anna,Isgrò Francesco,Longobardo Luca,Prevete R.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-49109-7_69

Reference23 articles.

1. Amato, F., De Pietro, G., Esposito, M., Mazzocca, N.: An integrated framework for securing semi-structured health records. Knowledge-Based Systems 79, 99–117 (2015)

2. Amato, F., Moscato, F.: A model driven approach to data privacy verification in e-health systems. Transactions on Data Privacy 8(3), 273–296 (2015)

3. Amato, F., Moscato, F.: Exploiting cloud and workflow patterns for the analysis of composite cloud services. Future Generation Computer Systems (2016)

4. Asghar, M.Z., Fehlmann, R., Ristaniemi, T.: Correlation-Based Cell Degradation Detection for Operational Fault Detection in Cellular Wireless Base-Stations, pp. 83–93. Springer International Publishing, Cham (2013)

5. Barber, D.: Bayesian Reasoning and Machine Learning. Cambridge University Press (2012)

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Data collection concerning equipment operation in the network of a mobile operator;The Herald of the Siberian State University of Telecommunications and Informatics;2022-07-22

2. PERFORMANCE COMPARISON OF MACHINE LEARNING ALGORITHMS FOR PREDICTIVE MAINTENANCE;Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska;2020-09-30

3. Crucial Answers about Humanoid Capital;Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction;2018-03