Machine Learning and Data Mining for Sports Analytics: 5th International Workshop, MLSA 2018, colocated with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings

Ulf Brefeld; Jesse Davis; Jan Van Haaren; Albrecht Zimmermann

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

Machine Learning and Data Mining for Sports Analytics: 5th International Workshop, MLSA 2018, colocated with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings

Ulf Brefeld (Editor)
, Jesse Davis (Editor)
, Jan Van Haaren (Editor)
, Albrecht Zimmermann (Editor)

Professorship of Information Systems, in particular Machine Learning

Research output: Books and anthologies › Collected editions and anthologies › Research

Abstract

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.

Original language	English

Publisher	Springer Nature
Volume	11330
Number of pages	179
ISBN (Print)	978-3-030-17273-2
ISBN (Electronic)	978-3-030-17274-9
DOIs	https://doi.org/10.1007/978-3-030-17274-9
Publication status	Published - 05.04.2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11330 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Bibliographical note

DOI 10.1007/978-3-030-17274-9
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG

Research areas and keywords

Informatics
artificial intelligence
classification accuracy
classification algorithm
data mining
learning algorithms
machine learning
neural networks
pattern recognition
regression analysis
reinforcement learning
Support Vector Machines (SVM)
tree structures
Business informatics

Access to Document

10.1007/978-3-030-17274-9

Cite this

Brefeld, U., Davis, J., Van Haaren, J., & Zimmermann, A. (Eds.) (2019). Machine Learning and Data Mining for Sports Analytics: 5th International Workshop, MLSA 2018, colocated with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11330 LNAI). Springer Nature. https://doi.org/10.1007/978-3-030-17274-9

Brefeld, Ulf (Editor) ; Davis, Jesse (Editor) ; Van Haaren, Jan (Editor) et al. / Machine Learning and Data Mining for Sports Analytics : 5th International Workshop, MLSA 2018, colocated with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings. Springer Nature, 2019. 179 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@book{5fbf785cc3e449a6b7733972cc199bb8,

title = "Machine Learning and Data Mining for Sports Analytics: 5th International Workshop, MLSA 2018, colocated with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings",

abstract = "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.",

keywords = "Informatics, artificial intelligence, classification accuracy, classification algorithm, data mining, learning algorithms, machine learning, neural networks, pattern recognition, regression analysis, reinforcement learning, Support Vector Machines (SVM), tree structures, Business informatics",

editor = "Ulf Brefeld and Jesse Davis and \{Van Haaren\}, Jan and Albrecht Zimmermann",

note = "DOI 10.1007/978-3-030-17274-9 Publisher Springer International Publishing Copyright Holder Springer Nature Switzerland AG",

year = "2019",

month = apr,

day = "5",

doi = "10.1007/978-3-030-17274-9",

language = "English",

isbn = "978-3-030-17273-2",

volume = "11330",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Nature",

address = "Germany",

}

Brefeld, U, Davis, J, Van Haaren, J & Zimmermann, A (eds) 2019, Machine Learning and Data Mining for Sports Analytics: 5th International Workshop, MLSA 2018, colocated with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11330 LNAI, vol. 11330, Springer Nature. https://doi.org/10.1007/978-3-030-17274-9

Machine Learning and Data Mining for Sports Analytics: 5th International Workshop, MLSA 2018, colocated with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings. / Brefeld, Ulf (Editor); Davis, Jesse (Editor); Van Haaren, Jan (Editor) et al.
Springer Nature, 2019. 179 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11330 LNAI).

Research output: Books and anthologies › Collected editions and anthologies › Research

TY - BOOK

T1 - Machine Learning and Data Mining for Sports Analytics

T2 - 5th International Workshop, MLSA 2018, colocated with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings

A2 - Brefeld, Ulf

A2 - Davis, Jesse

A2 - Van Haaren, Jan

A2 - Zimmermann, Albrecht

N1 - DOI 10.1007/978-3-030-17274-9 Publisher Springer International Publishing Copyright Holder Springer Nature Switzerland AG

PY - 2019/4/5

Y1 - 2019/4/5

N2 - 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.

AB - 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.

KW - Informatics

KW - artificial intelligence

KW - classification accuracy

KW - classification algorithm

KW - data mining

KW - learning algorithms

KW - machine learning

KW - neural networks

KW - pattern recognition

KW - regression analysis

KW - reinforcement learning

KW - Support Vector Machines (SVM)

KW - tree structures

KW - Business informatics

UR - https://www.scopus.com/pages/publications/85064907749

U2 - 10.1007/978-3-030-17274-9

DO - 10.1007/978-3-030-17274-9

M3 - Collected editions and anthologies

SN - 978-3-030-17273-2

VL - 11330

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

BT - Machine Learning and Data Mining for Sports Analytics

PB - Springer Nature

ER -

Brefeld U, (ed.), Davis J, (ed.), Van Haaren J, (ed.), Zimmermann A, (ed.). Machine Learning and Data Mining for Sports Analytics: 5th International Workshop, MLSA 2018, colocated with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings. Springer Nature, 2019. 179 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-17274-9

Machine Learning and Data Mining for Sports Analytics: 5th International Workshop, MLSA 2018, colocated with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings

Abstract

Publication series

Bibliographical note

Research areas and keywords

Access to Document

Fingerprint

Cite this