Machine Learning, Optimization, and Big Data
Second International Workshop, MOD 2016, Volterra, Italy, August 26-29, 2016, Revised Selected Papers
Editors: Pardalos, P.M., Conca, P., Giuffrida, G., Nicosia, G. (Eds.)
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- About this book
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This book constitutes revised selected papers from the Second International Workshop on Machine Learning, Optimization, and Big Data, MOD 2016, held in Volterra, Italy, in August 2016.
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.
- Table of contents (40 chapters)
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Machine Learning: Multi-site Evidence-Based Best Practice Discovery
Pages 1-15
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Data-Based Forest Management with Uncertainties and Multiple Objectives
Pages 16-29
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Metabolic Circuit Design Automation by Multi-objective BioCAD
Pages 30-44
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A Nash Equilibrium Approach to Metabolic Network Analysis
Pages 45-58
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A Blocking Strategy for Ranking Features According to Probabilistic Relevance
Pages 59-69
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Table of contents (40 chapters)
- Download Preface 1 PDF (43.9 KB)
- Download Sample pages 2 PDF (223.2 KB)
- Download Table of contents PDF (92.2 KB)
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Bibliographic Information
- Bibliographic Information
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- 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
- Information Systems and Applications, incl. Internet/Web, and HCI
- Series Volume
- 10122
- Copyright
- 2016
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing AG
- eBook ISBN
- 978-3-319-51469-7
- DOI
- 10.1007/978-3-319-51469-7
- Softcover ISBN
- 978-3-319-51468-0
- Edition Number
- 1
- Number of Pages
- XVIII, 456
- Number of Illustrations
- 109 b/w illustrations
- Topics
