Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11331)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
Included in the following conference series:
Conference proceedings info: LOD 2018.
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Table of contents (46 papers)
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Machine Learning, Optimization, and Data Science
Keywords
About this book
The 46 full papers presented were carefully reviewed and selected from 126 submissions. The papers cover topics in the field of machine learning, artificial intelligence, reinforcement learning, computational optimization and data science presenting a substantial array of ideas, technologies, algorithms, methods and applications.
Editors and Affiliations
Bibliographic Information
Book Title: Machine Learning, Optimization, and Data Science
Book Subtitle: 4th International Conference, LOD 2018, Volterra, Italy, September 13-16, 2018, Revised Selected Papers
Editors: Giuseppe Nicosia, Panos Pardalos, Giovanni Giuffrida, Renato Umeton, Vincenzo Sciacca
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-13709-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-13708-3Published: 14 February 2019
eBook ISBN: 978-3-030-13709-0Published: 16 February 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXII, 562
Number of Illustrations: 109 b/w illustrations, 115 illustrations in colour
Topics: Information Systems Applications (incl. Internet), Machine Learning, Algorithm Analysis and Problem Complexity, Data Mining and Knowledge Discovery
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