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.
| ISBN: | 9783030172732 |
| Publication date: | 7th April 2019 |
| Author: | Ulf Brefeld |
| Publisher: | Springer Nature Switzerland AG |
| Format: | Paperback |
| Pagination: | 179 pages |
| Series: | Lecture Notes in Computer Science |
| Genres: |
Artificial intelligence Data mining Expert systems / knowledge-based systems Maths for computer scientists Probability and statistics Pattern recognition |
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.
Machine Learning and Data Mining for Sports Analytics features in the following genres: Artificial intelligence, Data mining, Expert systems / knowledge-based systems, Maths for computer scientists, Probability and statistics, Pattern recognition
Paperback. £49.49, down from the £54.99 cover price. Not Available.
Machine Learning and Data Mining for Sports Analytics was written by Ulf Brefeld and published by Springer Nature Switzerland AG
Machine Learning and Data Mining for Sports Analytics has 179 pages
Yes it is part of Lecture Notes in Computer Science series
£49.49, reduced from £54.99. Not Available.