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Machine Learning for Networking

First International Conference, MLN 2018, Paris, France, November 27–29, 2018, Revised Selected Papers

  • Éric Renault
  • Paul Mühlethaler
  • Selma Boumerdassi
Conference proceedings MLN 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11407)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 11407)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Nageswara S. V. Rao, Satyabrata Sen, Zhengchun Liu, Rajkumar Kettimuthu, Ian Foster
    Pages 1-22
  3. Brice Leblanc, Emilien Bourdy, Hacène Fouchal, Cyril de Runz, Secil Ercan
    Pages 23-32
  4. Kheir Eddine Daouadi, Rim Zghal Rebaï, Ikram Amous
    Pages 33-43
  5. Qinliang Lin, Zhibo Gong, Qiaoling Wang, Jinlong Li
    Pages 44-55
  6. Zhengchun Liu, Rajkumar Kettimuthu, Prasanna Balaprakash, Nageswara S. V. Rao, Ian Foster
    Pages 56-78
  7. Meryem Amar, Mouad Lemoudden, Bouabid El Ouahidi
    Pages 79-97
  8. Hamidreza Anvari, Jesse Huard, Paul Lu
    Pages 98-116
  9. Yue Jin, Dimitre Kostadinov, Makram Bouzid, Armen Aghasaryan
    Pages 117-132
  10. Nicolás Viveros Barrera, Octavio José Salcedo Parra, Lewys Correa Sánchez
    Pages 133-145
  11. Rui Li, Chaoyun Zhang, Pan Cao, Paul Patras, John S. Thompson
    Pages 146-165
  12. Mohamed Belaoued, Bouchra Guelib, Yasmine Bounaas, Abdelouahid Derhab, Mahmoud Boufaida
    Pages 166-180
  13. Diego Madariaga, Martín Panza, Javier Bustos-Jiménez
    Pages 181-192
  14. Giuseppe Nebbione, Derek Doran, Srikanth Nadella, Brandon Minnery
    Pages 257-269
  15. Xuanlong Weng, Yin Luo, Jianbo Gao, Haishan Feng, Ke Huang
    Pages 270-278
  16. Rishabh Yadav, Yogesh Kumar Rana, Sushama Nagpal
    Pages 294-306
  17. Julián Francisco Mojica Sánchez, Octavio José Salcedo Parra, Miguel J. Espitia R.
    Pages 307-320
  18. Naila Bouchemal, Sondes Kallel, Nardjes Bouchemal
    Pages 321-332
  19. Kevin Curran, Gary Mansell, Jack Curran
    Pages 333-340
  20. Salima Bella, Assia Belbachir, Ghalem Belalem
    Pages 341-363
  21. Nardjes Bouchemal, Naila Bouchemal
    Pages 378-386
  22. Back Matter
    Pages 387-388

About these proceedings

Introduction

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.

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

Editors and affiliations

  • Éric Renault
    • 1
  • Paul Mühlethaler
    • 2
  • Selma Boumerdassi
    • 3
  1. 1.Télécom SudParisÉvryFrance
  2. 2.InriaParisFrance
  3. 3.CNAM/CEDRICParisFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-19945-6
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-19944-9
  • Online ISBN 978-3-030-19945-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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