Standard
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 (Herausgeber*in); Davis, Jesse (Herausgeber*in); Van Haaren, Jan (Herausgeber*in) et al.
Springer Nature AG, 2019. 179 S. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 11330 LNAI).
Publikation: Bücher und Anthologien › Sammelwerke und Anthologien › Forschung
Harvard
Brefeld, U, Davis, J, Van Haaren, J & Zimmermann, A (Hrsg.) 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), Bd. 11330 LNAI, Bd. 11330, Springer Nature AG.
https://doi.org/10.1007/978-3-030-17274-9
APA
Brefeld, U., Davis, J., Van Haaren, J., & Zimmermann, A. (Hrsg.) (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); Band 11330 LNAI). Springer Nature AG.
https://doi.org/10.1007/978-3-030-17274-9
Vancouver
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 AG, 2019. 179 S. (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
Bibtex
@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 AG",
address = "Germany",
}
RIS
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 - http://www.scopus.com/inward/record.url?scp=85064907749&partnerID=8YFLogxK
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 AG
ER -
