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|a 9783030649128
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|a Brefeld, Ulf
|e [editor]
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|a Machine Learning and Data Mining for Sports Analytics
|h Elektronische Ressource
|b 7th International Workshop, MLSA 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings
|c edited by Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann
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| 250 |
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|a 1st ed. 2020
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|a Cham
|b Springer International Publishing
|c 2020, 2020
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| 300 |
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|a X, 141 p. 6 illus
|b online resource
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|a Routine Inspection: A playbook for corner kicks -- How data availability aects the ability to learngood xG models -- Low-cost optical tracking of soccer players -- An Autoencoder Based Approach to SimulateSports Games -- Physical performance optimization in football -- Predicting Player Trajectoriesin Shot Situations in Soccer -- Stats Aren't Everything: Learning Strengths andWeaknesses of Cricket Players -- Prediction of tiers in the rankingof ice hockey players -- A Machine Learning Approach for Road CyclingRace Performance Prediction -- Mining Marathon Training Data to GenerateUseful User Proles -- Learning from partially labeled sequences forbehavioral signal annotation
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|a Computer Communication Networks
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|a Education / Data processing
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|a Computer Application in Social and Behavioral Sciences
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|a Artificial Intelligence
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|a Social sciences / Data processing
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|a Computers and Education
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|a Computer networks
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|a Computer Engineering and Networks
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|a Artificial intelligence
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|a Computer engineering
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| 700 |
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|a Davis, Jesse
|e [editor]
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| 700 |
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|a Van Haaren, Jan
|e [editor]
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| 700 |
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|a Zimmermann, Albrecht
|e [editor]
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| 041 |
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|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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|a Communications in Computer and Information Science
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| 028 |
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|a 10.1007/978-3-030-64912-8
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|u https://doi.org/10.1007/978-3-030-64912-8?nosfx=y
|x Verlag
|3 Volltext
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|a 006.3
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|a This book constitutes the refereed post-conference proceedings of the 7th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2020, colocated with ECML/PKDD 2020, in Ghent, Belgium, in September 2020. Due to the COVID-19 pandemic the conference was held online. The 11 papers presented were carefully reviewed and selected from 22 submissions. The papers present a variety of topics within the area of sports analytics, including tactical analysis, outcome predictions, data acquisition, performance optimization, and player evaluation
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