Titlebook: Machine Learning and Data Mining for Sports Analytics; 7th International Wo Ulf Brefeld,Jesse Davis,Albrecht Zimmermann Conference proceedi

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Brochure

Communications in Computer and Information Sciencehttp://image.papertrans.cn/m/image/620451.jpg

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978-3-030-64911-1Springer Nature Switzerland AG 2020

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Machine Learning and Data Mining for Sports Analytics978-3-030-64912-8Series ISSN 1865-0929 Series E-ISSN 1865-0937

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Conference proceedings 2020ics, 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 analyt

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1865-0929 rts 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 spo

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Mining Marathon Training Data to Generate Useful User Profilese – many of which require many years of prior experience or expensive laboratory testing. We also briefly investigate how these user profiles can be used to help marathon runners in their training and race preparation when combined with current recommender systems approaches.

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Conference proceedings 2020 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..

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Routine Inspection: A Playbook for Corner Kicksonal defenders over many matches. We demonstrate how our methods can be used for opposition analysis by highlighting the offensive and defensive corner strategies used by teams in our data over the course of a season.