Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12629)
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 2020.
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Keywords
- machine learning approaches
- machine learning algorithms
- artificial intelligence
- pattern recognition
- classification for networks
- network slicing optimization
- 5G networks
- performance analysis
- experimental evaluation
- security
- intelligent cloud support communications
- resource allocation
- wireless networks
- computer networks
- engineering
- telecommunication traffic
- data communication systems
- telecommunication networks
- learning
- mathematics
Table of contents (24 papers)
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Machine Learning for Networking
Editors and Affiliations
Bibliographic Information
Book Title: Machine Learning for Networking
Book Subtitle: Third International Conference, MLN 2020, Paris, France, November 24–26, 2020, Revised Selected Papers
Editors: Éric Renault, Selma Boumerdassi, Paul Mühlethaler
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-70866-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-70865-8Published: 03 March 2021
eBook ISBN: 978-3-030-70866-5Published: 02 March 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIII, 375
Number of Illustrations: 17 b/w illustrations, 148 illustrations in colour
Topics: Data Mining and Knowledge Discovery, Computing Milieux, Machine Learning, Computer Communication Networks, Computer System Implementation, Special Purpose and Application-Based Systems