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Machine Learning for Networking

4th International Conference, MLN 2021, Virtual Event, December 1–3, 2021, Proceedings

  • Conference proceedings
  • © 2022

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13175)

Included in the following conference series:

Conference proceedings info: MLN 2021.

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About this book

This book constitutes the thoroughly refereed proceedings of the 4th International Conference on Machine Learning for Networking, MLN 2021, held in Paris, France, in December 2021. The 10 revised full papers included in the volume were carefully reviewed and selected from 30 submissions. They present and discuss new trends in in deep and reinforcement learning, pattern recognition and classification for networks, machine learning for network slicing optimization, 5G systems, 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 communications, software-defined networks, cooperative networks, positioning and navigation systems, wireless communications, wireless sensor networks, and underwater sensor networks.

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Keywords

Table of contents (10 papers)

Other volumes

  1. Machine Learning for Networking

Editors and Affiliations

  • ESIEE Paris, Noisy-le-Grand, France

    Éric Renault

  • CNAM, Paris, France

    Selma Boumerdassi

  • Inria, Paris, France

    Paul Mühlethaler

Bibliographic Information

  • Book Title: Machine Learning for Networking

  • Book Subtitle: 4th International Conference, MLN 2021, Virtual Event, December 1–3, 2021, Proceedings

  • Editors: Éric Renault, Selma Boumerdassi, Paul Mühlethaler

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-98978-1

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2022

  • Softcover ISBN: 978-3-030-98977-4Published: 23 March 2022

  • eBook ISBN: 978-3-030-98978-1Published: 22 March 2022

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: X, 161

  • Number of Illustrations: 19 b/w illustrations, 50 illustrations in colour

  • Topics: Data Mining and Knowledge Discovery, Computer Communication Networks, Computer Applications

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