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
  18. Stéphane Chrétien, Sébastien Darses
    Pages 234-243
  19. Francesco Bagattini, Paola Cappanera, Fabio Schoen
    Pages 244-254
  20. Joana Dias, Humberto Rocha, Tiago Ventura, Brígida Ferreira, Maria do Carmo Lopes
    Pages 255-267
  21. Zekarias T. Kefato, Nasrullah Sheikh, Alberto Montresor
    Pages 286-298
  22. Margarita Zaleshina, Alexander Zaleshin, Adriana Galvani
    Pages 299-308
  23. Ziad Salem, Gerald Radspieler, Karlo Griparić, Thomas Schmickl
    Pages 309-321
  24. Roy Khristopher Bayot, Teresa Gonçalves
    Pages 337-348
  25. Iván Darío López, Cristian Heidelberg Valencia, Juan Carlos Corrales
    Pages 362-375
  26. Kamer Kaya, Ş. İlker Birbil, M. Kaan Öztürk, Amir Gohari
    Pages 376-388
  27. Marco Baioletti, Gabriele Di Bari, Valentina Poggioni, Mirco Tracolli
    Pages 401-413
  28. Guillermo Rela, Franco Robledo, Pablo Romero
    Pages 426-435
  29. Gabriel Bayá, Antonio Mauttone, Franco Robledo, Pablo Romero
    Pages 436-448
  30. Cristian Galleguillos, Alina Sîrbu, Zeynep Kiziltan, Ozalp Babaoglu, Andrea Borghesi, Thomas Bridi
    Pages 449-461
  31. Humberto Rocha, Joana Dias
    Pages 483-495
  32. Natalia Castro, Graciela Ferreira, Franco Robledo, Pablo Romero
    Pages 496-505
  33. Reiji Hatsugai, Mary Inaba
    Pages 519-526
  34. Benedikt Klocker, Herbert Fleischner, Günther R. Raidl
    Pages 527-539
  35. Francesco Calimeri, Mirco Caracciolo, Aldo Marzullo, Claudio Stamile
    Pages 540-548
  36. Roberto Aringhieri, Davide Dell’Anna, Davide Duma, Michele Sonnessa
    Pages 549-561
  37. Christopher Bacher, Günther R. Raidl
    Pages 562-573
  38. Stefano Mauceri, Louis Smith, James Sweeney, James McDermott
    Pages 574-585

About these proceedings


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.


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

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