Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11407)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
Included in the following conference series:
Conference proceedings info: MLN 2018.
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Table of contents (27 papers)
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Front Matter
Other volumes
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Machine Learning for Networking
Keywords
- ad hoc networks
- artificial intelligence
- bandwidth
- computer networks
- data security
- Human-Computer Interaction (HCI)
- internet
- learning algorithms
- machine learning
- mobile telecommunication systems
- neural networks
- routers
- sensor networks
- sensors
- telecommunication networks
- telecommunication traffic
- user interfaces
- wireless networks
- wireless sensor networks
- wireless telecommunication systems
About this book
This book constitutes the thoroughly refereed proceedings of the First International Conference on Machine Learning for Networking, MLN 2018, held in Paris, France, in November 2018.
The 22 revised full papers included in the volume were carefully reviewed and selected from 48 submissions. They present new trends in the following topics: 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, resource allocation, energy-aware/green communications, software defined networks, cooperative networks, positioning and navigation systems, wireless communications, wireless sensor networks, underwater sensor networks.Editors and Affiliations
Bibliographic Information
Book Title: Machine Learning for Networking
Book Subtitle: First International Conference, MLN 2018, Paris, France, November 27–29, 2018, Revised Selected Papers
Editors: Éric Renault, Paul Mühlethaler, Selma Boumerdassi
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-19945-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-19944-9Published: 10 May 2019
eBook ISBN: 978-3-030-19945-6Published: 10 May 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIII, 388
Number of Illustrations: 52 b/w illustrations, 156 illustrations in colour
Topics: Data Mining and Knowledge Discovery, Artificial Intelligence, Computer Communication Networks, Special Purpose and Application-Based Systems, Information Systems Applications (incl. Internet)