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Machine Learning, Optimization, and Big Data

Second International Workshop, MOD 2016, Volterra, Italy, August 26-29, 2016. Revised Selected Papers

Language EnglishEnglish
Book Paperback
Book Machine Learning, Optimization, and Big Data Panos M. Pardalos
Libristo code: 15496677
Publishers Springer International Publishing AG, December 2016
This book constitutes revised selected papers from the Second International Workshop on Machine Lear... Full description
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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.

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About the book

Full name Machine Learning, Optimization, and Big Data
Author Panos M. Pardalos, Piero Conca, Giovanni Giuffrida, Giuseppe Nicosia
Language English
Binding Book - Paperback
Date of issue 2016
Number of pages 456
EAN 9783319514680
ISBN 3319514687
Libristo code 15496677
Publishers Springer International Publishing AG
Weight 7139
Dimensions 155 x 235 x 27

Categories

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
Computing & Information Technology > Digital lifestyle > Internet guides & online services > Internet searching
Computing & Information Technology > Computer science > Artificial intelligence > Pattern recognition
Computing & Information Technology > Computer programming / software engineering > Algorithms & data structures
Computing & Information Technology > Databases > Data mining
Computing & Information Technology > Databases > Information retrieval
Computing & Information Technology > Computer science > Systems analysis & design
Computing & Information Technology > Information technology: general issues
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