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Machine Learning and Data Mining for Sports Analytics

7th International Workshop, MLSA 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings

Paperback Engels 2020 9783030649111
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Samenvatting

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.

Specificaties

ISBN13:9783030649111
Taal:Engels
Bindwijze:paperback
Uitgever:Springer International Publishing

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Inhoudsopgave

Routine Inspection: A playbook for corner kicks.-&nbsp;How data availability aects the ability to learngood xG models.- Low-cost optical tracking of soccer players.-&nbsp;An Autoencoder Based Approach to SimulateSports Games.-&nbsp;Physical performance optimization in football.-&nbsp;Predicting Player Trajectoriesin Shot Situations in Soccer.-&nbsp;Stats Aren't Everything: Learning Strengths andWeaknesses of Cricket Players.-&nbsp;Prediction of tiers in the rankingof ice hockey players.-&nbsp;A Machine Learning Approach for Road CyclingRace Performance Prediction.-&nbsp;Mining Marathon Training Data to GenerateUseful User Proles.-&nbsp;Learning from partially labeled sequences forbehavioral signal annotation.<div><br><div><br><div><br></div></div></div>

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        Machine Learning and Data Mining for Sports Analytics