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TitleMachine Learning and Data Mining for Sports Analytics [electronic resource] : 5th International Workshop, MLSA 2018, Co-located with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings / edited by Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann
ImprintCham : Springer International Publishing : Imprint: Springer, 2019
Edition 1st ed. 2019
Connect tohttps://doi.org/10.1007/978-3-030-17274-9
Descript X, 179 p. 57 illus., 41 illus. in color. online resource

SUMMARY

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.


Artificial intelligence Data mining Computer science Optical pattern recognition Artificial Intelligence. http://scigraph.springernature.com/things/product-market-codes/I21000 Data Mining and Knowledge Discovery. http://scigraph.springernature.com/things/product-market-codes/I18030 Probability and Statistics in Computer Science. http://scigraph.springernature.com/things/product-market-codes/I17036 Pattern Recognition. http://scigraph.springernature.com/things/product-market-codes/I2203X



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