Role of KDD in quality of experience driven detection in wireless network
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Publisher
AIP Publishing
Link
http://aip.scitation.org/doi/pdf/10.1063/5.0111634
Reference21 articles.
1. Chetana V. Murudkar and Richard D. Gitlin, QoE-driven Anomaly Detection in Self-Organizing Mobile Networks using Machine Learning, 978-1-5386-8380-4/19, ©2019 IEEE
2. Paulo Valente Klaine, Muhammad Ali Imran, Oluwakayode Onireti, Richard Demo Souza, “A Survey of Machine Learning Techniques Applied to Self-Organizing Cellular Networks,” IEEE Communications Surveys & Tutorials, volume: 19, issue: 4, 2017.
3. ITU-T Recommendation P.10/G.100 Amendment 2, “Vocabulary for performance and quality of service,” July 2008.
4. Eirini Liotou, Dimitris Tsolkas, Nikos Passas, and Lazaros Merakos, “Quality of Experience Management in Mobile Cellular Networks: Key Issues and Design Challenges,” IEEE Communications Magazine, volume: 53, issue: 7, 2015.
5. Eirini Liotou, Dimitris Tsolkas, Nikos Passas, Lazaros Merakos, “A Roadmap on QoE Metrics and Models,” 23rd International Conference on Telecommunications (ICT), 2016.
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