Titlebook: Machine Learning and Data Mining for Sports Analytics; 9th International Wo Ulf Brefeld,Jesse Davis,Albrecht Zimmermann Conference proceedi

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978-3-031-27526-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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Machine Learning and Data Mining for Sports Analytics978-3-031-27527-2Series ISSN 1865-0929 Series E-ISSN 1865-0937

Macronutrients

OPINE

headway

uveitis

Analyzing Passing Sequences for?the?Prediction of?Goal-Scoring Opportunitiesd apply sequential pattern mining. Our experimental study on the 2020/21 Danish Superliga season shows that our method is able to predict goal scoring opportunities better than random subsequences that occurred, in median, 99.5% of the cases.

Tailor

Perineum

Discovering and?Visualizing Tactics in?a?Table Tennis Game Based on?Subgroup Discoveryand classify these subgroups using the weighted relative accuracy measure (WRAcc). We then present the subgroups using visualizations to communicate these results to our expert. These exchanges allow rapid feedback on our results and makes it possible further improvements to our discoveries.

ANN

Conference proceedings 2023held in Grenoble, France, during September 19, 2022.?.The 10 full papers included in this book were carefully reviewed and selected from 18 submissions. They were organized in topical sections as follows:?Football,?Racket sports,?Cycling..