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Machine Learning and Data Mining for Sports Analytics : 5th International Workshop, MLSA 2018, Co-located with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings (2019)

Brefeld, Ulf. [editor.] ; Davis, Jesse. [editor.] ; Van Haaren, Jan. [editor.] ; [et al.]

Cham :Springer International Publishing :

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UID:

almahu_9948075280702882

Format: X, 179 p. 57 illus., 41 illus. in color. , online resource.

ISBN: 9783030172749

Series Statement: Lecture Notes in Artificial Intelligence ; 11330

Content: This book constitutes the refereed post-conference proceedings of the 5th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2018, colocated with ECML/PKDD 2018, in Dublin, Ireland, in September 2018. 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. .

In: Springer eBooks

Additional Edition: Printed edition: ISBN 9783030172732

Additional Edition: Printed edition: ISBN 9783030172756

Language: English

DOI: 10.1007/978-3-030-17274-9

URL: https://doi.org/10.1007/978-3-030-17274-9

URL: lizenzpflichtig