Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11330)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: MLSA 2018.
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Table of contents (15 papers)
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Soccer
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Individual Sports
Other volumes
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Machine Learning and Data Mining for Sports Analytics
Keywords
About this book
The 12 full papers presented together with 4 challenge papers were carefully reviewed and selected from 24 submissions. The papers present a variety of topics, covering the team sports American football, basketball, ice hockey, and soccer, as well as the individual sports cycling and martial arts. In addition, four challenge papers are included, reporting on how to predict pass receivers in soccer.
Editors and Affiliations
Bibliographic Information
Book Title: Machine Learning and Data Mining for Sports Analytics
Book Subtitle: 5th International Workshop, MLSA 2018, Co-located with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings
Editors: Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-17274-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-17273-2Published: 07 April 2019
eBook ISBN: 978-3-030-17274-9Published: 06 April 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 179
Number of Illustrations: 16 b/w illustrations, 41 illustrations in colour
Topics: Artificial Intelligence, Data Mining and Knowledge Discovery, Probability and Statistics in Computer Science, Pattern Recognition