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Machine Learning, Optimization, and Big Data : Third International Conference, MOD 2017, Volterra, Italy, September 14-17, 2017, Revised Selected Papers / edited by Giuseppe Nicosia, Panos Pardalos, Giovanni Giuffrida, Renato Umeton.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 10710
- Information Systems and Applications, incl. Internet/Web, and HCI ; 10710
- Language:
- English
- Subjects (All):
- Application software.
- Artificial intelligence.
- Algorithms.
- Data mining.
- Computer science-Mathematics.
- Computer engineering.
- Computer networks.
- Computer and Information Systems Applications.
- Artificial Intelligence.
- Data Mining and Knowledge Discovery.
- Mathematics of Computing.
- Computer Engineering and Networks.
- Local Subjects:
- Computer and Information Systems Applications.
- Artificial Intelligence.
- Algorithms.
- Data Mining and Knowledge Discovery.
- Mathematics of Computing.
- Computer Engineering and Networks.
- Physical Description:
- 1 online resource (XXI, 600 pages) : 258 illustrations, 121 illustrations in color.
- Edition:
- 1st ed. 2018.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2018.
- System Details:
- text file PDF
- Summary:
- This book constitutes the post-conference proceedings of the Third International Workshop on Machine Learning, Optimization, and Big Data, MOD 2017, held in Volterra, Italy, in September 2017. The 50 full papers presented were carefully reviewed and selected from 126 submissions. The papers cover topics in the field of machine learning, artificial intelligence, computational optimization and data science presenting a substantial array of ideas, technologies, algorithms, methods and applications.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-72926-8
- 9783319729268
- Access Restriction:
- Restricted for use by site license.
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