Decision Support Systems for Time Series in Sport: Literature Review and Applied Example of Changepoint-Based Most Demanding Scenario Analysis in Basketball

Decision Support Systems (DSSs) are increasingly shaping high-performance sport by translating complex time series data into actionable insights for coaches and practitioners. This paper outlines a structured, five-stage DSS development pipeline, grounded in the Schelling and Robertson framework, an...

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主要な著者:	Xavier Schelling, Bartholomew Spencer, Victor Azalbert, Enrique Alonso-Perez-Chao, Carlos Sosa, Sam Robertson
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2025-09-01
シリーズ:	Applied Sciences
主題:	team sports sports analytics performance analysis peak demands player tracking data
オンライン･アクセス:	https://www.mdpi.com/2076-3417/15/19/10575
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