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Machine learning and data mining for sports analytics5th International Workshop, MLSA 2018, Co-located with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning and data mining for sports analyticsedited by Ulf Brefeld ... [et al.].
Reminder of title:	5th International Workshop, MLSA 2018, Co-located with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018 : proceedings /
remainder title:	MLSA 2018
other author:	Brefeld, Ulf.
corporate name:
Published:	Cham :Springer International Publishing :2019.
Description:	x, 179 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Machine learningCongresses.
Online resource:	https://doi.org/10.1007/978-3-030-17274-9
ISBN:	9783030172749$q(electronic bk.)

Machine learning and data mining for sports analytics5th International Workshop, MLSA 2018, Co-located with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018 : proceedings /
Machine learning and data mining for sports analytics5th International Workshop, MLSA 2018, Co-located with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018 : proceedings /[electronic resource] :MLSA 2018edited by Ulf Brefeld ... [et al.]. - Cham :Springer International Publishing :2019. - x, 179 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,113300302-9743 ;. - Lecture notes in computer science ;4891..

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.

ISBN: 9783030172749$q(electronic bk.)

Standard No.: 10.1007/978-3-030-17274-9doiSubjects--Topical Terms:

384498
Machine learning
--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Machine learning and data mining for sports analytics5th International Workshop, MLSA 2018, Co-located with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018 : proceedings /
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