Machine Learning, Optimization, and Big Data

Third International Conference, MOD 2017, Volterra, Italy, September 14–17, 2017, Revised Selected Papers

  • Giuseppe Nicosia
  • Panos Pardalos
  • Giovanni Giuffrida
  • Renato Umeton
Conference proceedings MOD 2017

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10710)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 10710)

Table of contents

  1. Front Matter
    Pages I-XXI
  2. Khaled Sayed, Cheryl A. Telmer, Adam A. Butchy, Natasa Miskov-Zivanov
    Pages 1-15
  3. S. Consoli, J. Kustra, P. Vos, M. Hendriks, D. Mavroeidis
    Pages 16-28
  4. Michael Cohen
    Pages 41-49
  5. Andrea Serani, Matteo Diez
    Pages 50-62
  6. Gregor Ulm, Emil Gustavsson, Mats Jirstrand
    Pages 63-75
  7. Angelo Lucia, Edward Thomas, Peter A. DiMaggio
    Pages 88-99
  8. Ahmad Mazyad, Fabien Teytaud, Cyril Fonlupt
    Pages 100-108
  9. S. P. Sidorov, S. V. Mironov, M. G. Pleshakov
    Pages 109-120
  10. Danny D’Agostino, Andrea Serani, Emilio F. Campana, Matteo Diez
    Pages 121-132
  11. Manousos Rigakis, Dimitra Trachanatzi, Magdalene Marinaki, Yannis Marinakis
    Pages 133-145
  12. Stefano Cagnoni, Paolo Fornacciari, Juxhino Kavaja, Monica Mordonini, Agostino Poggi, Alex Solimeo et al.
    Pages 146-157
  13. Mauro Dell’Amico, Natalia Selini Hadjidimitriou, Thorsten Koch, Milena Petkovic
    Pages 158-171
  14. Maria João Alves, Carlos Henggeler Antunes
    Pages 172-185
  15. Jason Adair, Alexander Brownlee, Fabio Daolio, Gabriela Ochoa
    Pages 186-197
  16. Riccardo Pellegrini, Andrea Serani, Giampaolo Liuzzi, Francesco Rinaldi, Stefano Lucidi, Emilio F. Campana et al.
    Pages 198-209
  17. Alice Plebe, Mario Pavone
    Pages 222-233

About these proceedings

Introduction

This book constitutes the post-conference proceedings of the Third International Workshop on Machine Learning, Optimization, and Big Data, MOD 2017, held in Volterra, Italy, in September 2017.

The 50 full papers presented were carefully reviewed and selected from 126 submissions. The papers cover topics in the field of machine learning, artificial intelligence, computational optimization and data science presenting a substantial array of ideas, technologies, algorithms, methods and applications.

Keywords

artificial intelligence classification cluster analysis computer architecture data mining differential evolution evolutionary algorithms genetic algorithms graph theory heuristic methods learning algorithms linear programming machine learning multiobjective optimization neural networks problem solving semantics simulated annealing Support Vector Machines (SVM) wireless telecommunication systems

Editors and affiliations

  • Giuseppe Nicosia
    • 1
  • Panos Pardalos
    • 2
  • Giovanni Giuffrida
    • 3
  • Renato Umeton
    • 4
  1. 1.University of CataniaCataniaItaly
  2. 2.University of FloridaGainesvilleUSA
  3. 3.University of CataniaCataniaItaly
  4. 4.Harvard UniversityCambridgeUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-72926-8
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-72925-1
  • Online ISBN 978-3-319-72926-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book
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