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© 2020

Machine Learning for Networking

Second IFIP TC 6 International Conference, MLN 2019, Paris, France, December 3–5, 2019, Revised Selected Papers

  • Selma Boumerdassi
  • Éric Renault
  • Paul Mühlethaler
Conference proceedings MLN 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 12081)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 12081)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. François Alin, Amine Chemchem, Florent Nolot, Olivier Flauzac, Michaël Krajecki
    Pages 15-27
  3. Menuka Perera Jayasuriya Kuranage, Kandaraj Piamrat, Salima Hamma
    Pages 28-39
  4. Alexis Bitaillou, Benoît Parrein, Guillaume Andrieux
    Pages 58-69
  5. Eoin Rogers, John D. Kelleher, Robert J. Ross
    Pages 70-84
  6. Ola Salman, Imad H. Elhajj, Ayman Kayssi, Ali Chehab
    Pages 99-116
  7. Diogo Ferreira, Carlos Senna, Paulo Salvador, Luís Cortesão, Cristina Pires, Rui Pedro et al.
    Pages 117-133
  8. Achille Salaün, Anne Bouillard, Marc-Olivier Buob
    Pages 134-153
  9. Nageswara S. V. Rao, Neena Imam, Zhengchun Liu, Rajkumar Kettimuthu, Ian Foster
    Pages 154-174
  10. Srikanth Bethu, B. Sankara Babu, K. Madhavi, P. Gopala Krishna
    Pages 175-195
  11. Martín Panza, Diego Madariaga, Javier Bustos-Jiménez
    Pages 212-226
  12. Jaekyung Yang, Jong-Yeong Lee, Myoungjin Choi, Yeongin Joo
    Pages 227-239
  13. Arnaud Rosay, Florent Carlier, Pascal Leroux
    Pages 240-254
  14. Mandlenkosi Victor Gwetu, Jules-Raymond Tapamo, Serestina Viriri
    Pages 255-272
  15. Sai Prithvisingh Taurah, Jeshta Bhoyedhur, Roopesh Kevin Sungkur
    Pages 273-286
  16. Vassia Bonandrini, Jean-François Bercher, Nawel Zangar
    Pages 287-295

About these proceedings

Introduction

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, patternrecognition and classi cation for networks, machine learning for network slicingoptimization, 5G system, user behavior prediction, multimedia, IoT, securityand protection, optimization and new innovative machine learning methods, performanceanalysis of machine learning algorithms, experimental evaluations ofmachine learning, data mining in heterogeneous networks, distributed and decentralizedmachine 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.

Keywords

artificial intelligence communication systems computer crime computer networks computer security computer systems cryptography data security education engineering internet learning machine learning network protocols signal processing telecommunication networks telecommunication systems telecommunication traffic wireless telecommunication systems

Editors and affiliations

  • Selma Boumerdassi
    • 1
  • Éric Renault
    • 2
  • Paul Mühlethaler
    • 3
  1. 1.Conservatoire National des Arts MétiersParis Cedex 03France
  2. 2.ESIEE ParisNoisy-le-GrandFrance
  3. 3.InriaParisFrance

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