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 /

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Bibliographic Details
Meeting name:	International Workshop on Machine Learning and Data Mining for Sports Analytics (5th : 2018 : Dublin, Ireland)
Imprint:	Cham, Switzerland : Springer, 2019.
Description:	1 online resource (x, 179 pages) : illustrations (some color)
Language:	English
Series:	Lecture notes in computer science ; 11330 Lecture notes in artificial intelligence LNCS sublibrary. SL 7, Artificial intelligence Lecture notes in computer science ; 11330. Lecture notes in computer science. Lecture notes in artificial intelligence. LNCS sublibrary. SL 7, Artificial intelligence.
Subject:	Machine learning -- Congresses. Data mining -- Congresses. Sports -- Data processing -- Congresses. Data mining. Machine learning. Sports -- Data processing. Conference papers and proceedings.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11873430

Hidden Bibliographic Details
Varying Form of Title:	MLSA 2018
Other authors / contributors:	Brefeld, Ulf, editor. Davis, Jesse (Professor of Informatics), editor. Van Haaren, Jan, editor. Zimmermann, Albrecht, editor. ECML PKDD (Conference) (2018 : Dublin, Ireland)
ISBN:	9783030172749 3030172740 3030172732 9783030172732 9783030172756 3030172759 9783030172732
Digital file characteristics:	text file PDF
Notes:	Includes author index. Online resource; title from PDF title page (SpringerLink, viewed April 10, 2019).
Summary:	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.
Other form:	Printed edition: 9783030172732 Printed edition: 9783030172756
Standard no.:	10.1007/978-3-030-17274-9 10.1007/978-3-030-17

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