This book constitutes the thoroughly refereed proceedings of the Second International Conference on Machine Learning for Networking, MLN 2019, held in Paris, France, in December 2019. The 26 revised full papers included in the volume were carefully reviewed and selected from 75 submissions. They present and discuss new trends in deep and reinforcement learning, pattern recognition and classification for networks, machine learning for network slicing optimization, 5G system, user behavior prediction, multimedia, IoT, security and protection, optimization and new innovative machine learning methods, performance analysis of machine learning algorithms, experimental evaluations of machine learning, data mining in heterogeneous networks, distributed and decentralized machine learning algorithms, intelligent cloud-support communications, ressource allocation, energy-aware communications, software de ned networks, cooperative networks, positioning and navigation systems, wireless communications, wireless sensor networks, underwater sensor networks.
| ISBN: | 9783030708658 |
| Publication date: | 3rd March 2021 |
| Author: | Éric Renault |
| Publisher: | Springer Nature Switzerland AG |
| Format: | Paperback |
| Pagination: | 375 pages |
| Series: | Information Systems and Applications, incl. Internet/Web, and HCI |
| Genres: |
Data mining Expert systems / knowledge-based systems Information technology: general topics Machine learning Network hardware Systems analysis and design |
This book constitutes the thoroughly refereed proceedings of the Second International Conference on Machine Learning for Networking, MLN 2019, held in Paris, France, in December 2019. The 26 revised full papers included in the volume were carefully reviewed and selected from 75 submissions. They present and discuss new trends in deep and reinforcement learning, pattern recognition and classification for networks, machine learning for network slicing optimization, 5G system, user behavior prediction, multimedia, IoT, security and protection, optimization and new innovative machine learning methods, performance analysis of machine learning algorithms, experimental evaluations of machine learning, data mining in heterogeneous networks, distributed and decentralized machine learning algorithms, intelligent cloud-support communications, ressource allocation, energy-aware communications, software de ned networks, cooperative networks, positioning and navigation systems, wireless communications, wireless sensor networks, underwater sensor networks.
Machine Learning for Networking features in the following genres: Data mining, Expert systems / knowledge-based systems, Information technology: general topics, Machine learning, Network hardware, Systems analysis and design
Machine Learning for Networking is available in Paperback
Machine Learning for Networking was written by Éric Renault and published by Springer Nature Switzerland AG
Machine Learning for Networking has 375 pages
Yes it is part of Information Systems and Applications, incl. Internet/Web, and HCI series
£40.49