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

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.

List of contents

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.

Product details

• Assisted by: Ulf Brefeld (Editor), Jess Davis (Editor), Jesse Davis (Editor), Jan van Haaren (Editor), Jan Van Haaren (Editor), Jan Van Haaren et al (Editor), Albrecht Zimmermann (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 24.02.2021
• EAN: 9783030649111
• ISBN: 978-3-0-3064911-1
• No. of pages: 141
• Dimensions: 155 mm x 8 mm x 235 mm
• Illustrations: X, 141 p. 6 illus.
• Series: Communications in Computer and Information Science
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > IT