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

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Brefeld, Ulf (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Davis, Jesse (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Van Haaren, Jan (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Zimmermann, Albrecht (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Lecture Notes in Artificial Intelligence ; 11330
• Θέματα: Artificial intelligence.; Data mining.; Mathematical statistics.; Pattern recognition.; Artificial Intelligence.; Data Mining and Knowledge Discovery.; Probability and Statistics in Computer Science.; Pattern Recognition.
• Φυσική περιγραφή: X, 179 p. 57 illus., 41 illus. in color. online resource.
• ISBN: 9783030172749
• DOI: 10.1007/978-3-030-17274-9

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. .