The International Conference on Machine learning, Optimization, and big Data (MOD) has established itself as a premier interdisciplinary conference in machine learning, computational optimization 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.
We invite submissions of papers, abstracts, posters and demos on all topics related to Machine learning, Optimization and Data Science including real-world applications for the Conference proceedings (Springer - Lecture Notes in Computer Science).
MOD 2017 Conference is organized as a non-profit event.
Special Session/Workshop Proposals: March 31, 2017
Special Session/Workshop Notification: April 15, 2017
Decision Notification to Authors: May 1st, 2017
Camera Ready Submission Deadline: June 1st, 2017
Deadline for early Registration as Presenting Author: June 15, 2017
Late registration: June 16 – September 17, 2017
MOD 2017 Conference: September 14-17, 2017
Renato Umeton, Harvard University, USA
Giovanni Giuffrida, University of Catania, Italy & Neodata Group
Giuseppe Nicosia, University of Catania, Italy
Panos Pardalos, University of Florida, USA
Giuseppe Narzisi, New York University Tandon School of Engineering & New York Genome Center, New York, USA
Ilaria Bordino, Marco Firrincieli, Fabio Fumarola, and Francesco Gullo, UniCredit R&D,