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.
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,