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

AvUlf Brefeld,Jesse Davis

Häftad, Engelska, 2020

Del 1324 i serien Communications in Computer and Information Science

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2020-12-10
Mått:155 x 235 x 9 mm
Vikt:242 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:141
Förlag:Springer Nature Switzerland AG
ISBN:9783030649111

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Idrottsträning och coachning inom Sport, fritid och hobby
Databaser inom Data och IT

Innehållsförteckning

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.