SSBSS 2017
10 October 2016

MOD 2017

The International Conference on Machine learning, Optimization, and big Data (MOD) has established itself as a premier interdisciplinary conference in machine learning, computational optimization, knowledge discovery and data science. It provides an international forum for presentation of original multidisciplinary research results, as well as exchange and dissemination of innovative and practical development experiences.

The conference will consist of four days of conference sessions. We invite submissions of papers on all topics related to Machine learning, Optimization, Knowledge Discovery and Data Science including real-world applications for the Conference Proceedings (Springer ? Lecture Notes in Computer Science -LNCS).

Important dates

  • Full Paper Submissions: March 31, 2017
  • Full Paper Notifications: May 1, 2017
  • Special Session Proposals: March 31, 2017
  • Special Session Notifications: April 15, 2017
  • Workshop Proposals: March 31, 2017
  • Workshop Notifications: April 15, 2017
  • Conference: September 14 – 17, 2017

Topics of Interest
The last five-year period has seen a impressive revolution in the theory and application of machine learning, optimization and big data.


General Chair:
Renato Umeton, Harvard University, USA

Program Co-Chairs:
Giovanni Giuffrida, University of Catania, Italy & Neodata Group
Giuseppe Nicosia, University of Catania, Italy
Panos Pardalos, University of Florida, USA

Special Session Co-Chairs:
Giuseppe Narzisi, New York University Tandon School of Engineering & New York Genome Center, New York, USA

Workshop Co-Chair:
Piero Conca, CNR, Italy

Industrial Panel Chairs:
Ilaria Bordino, Marco Firrincieli, Fabio Fumarola, and Francesco Gullo, UniCredit R&D