Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10122)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
Conference series link(s): LOD: International Conference on Machine Learning, Optimization, and Data Science
Conference proceedings info: MOD 2016.
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Table of contents (40 papers)
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Front Matter
About this book
The 40 papers presented in this volume were carefully reviewed and selected from 97 submissions. These proceedings contain papers in the fields of Machine Learning, Computational Optimization and DataScience presenting a substantial array of ideas, technologies, algorithms, methods and applications.
Editors and Affiliations
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Department of Industrial and Systems Engineering, University of Florida, Gainesville, USA
Panos M. Pardalos
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Semantic Technology Laboratory, National Research Council (CNR), Catania, Italy
Piero Conca
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Dipartimento di Sociologia e Metodi della Ricerca Sociale, Università di Catania, Catania, Italy
Giovanni Giuffrida
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Department of Mathematics and Computer Science, University of Catania, Catania, Italy
Giuseppe Nicosia
Bibliographic Information
Book Title: Machine Learning, Optimization, and Big Data
Book Subtitle: Second International Workshop, MOD 2016, Volterra, Italy, August 26-29, 2016, Revised Selected Papers
Editors: Panos M. Pardalos, Piero Conca, Giovanni Giuffrida, Giuseppe Nicosia
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-51469-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2016
Softcover ISBN: 978-3-319-51468-0Published: 25 December 2016
eBook ISBN: 978-3-319-51469-7Published: 24 December 2016
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVIII, 456
Number of Illustrations: 109 b/w illustrations
Topics: Information Systems Applications (incl. Internet), Algorithm Analysis and Problem Complexity, System Performance and Evaluation, Artificial Intelligence, Pattern Recognition, Data Mining and Knowledge Discovery