| 書目名稱 | Data Mining and Machine Learning in High-Performance Sport |
| 副標題 | Performance Analysis |
| 編輯 | Rabiu Muazu Musa,Anwar P.P. Abdul Majeed,Mohd Azra |
| 視頻video | http://file.papertrans.cn/263/262938/262938.mp4 |
| 概述 | Highlights the use of data mining and ML techniques in studying the activity, decision-making, and actions.Discusses how these methods can help in enhancing the performance of referees.Includes analay |
| 叢書名稱 | SpringerBriefs in Applied Sciences and Technology |
| 圖書封面 |  |
| 描述 | .This book explores the application of data mining and machine learning techniques in studying the activity pattern, decision-making skills, misconducts, and actions resulting in the intervention of VAR in European soccer leagues referees. The game of soccer at the elite level is characterised by intense competitions, a high level of intensity, technical, and tactical skills coupled with a long duration of play. Referees are required to officiate the game and deliver correct and indisputable decisions throughout the duration of play. The increase in the spatial and temporal task demands of the game necessitates that the referees must respond and cope with the physiological and psychological loads inherent in the game. The referees are also required to deliver an accurate decision and uphold the rules and regulations of the game during a match. These demands and attributes make the work of referees highly complex. The increasing pace and complexity of the game resulted in the introduction of the Video Assistant Referee (VAR) to assist and improve the decision-making of on-field referees. Despite the integration of VAR into the current refereeing system, the performances of the refer |
| 出版日期 | Book 2022 |
| 關鍵詞 | Activity Pattern Recognition; Video Assistant Referee (VAR); European Soccer Leagues; Decision Errors; S |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-19-7049-8 |
| isbn_softcover | 978-981-19-7048-1 |
| isbn_ebook | 978-981-19-7049-8Series ISSN 2191-530X Series E-ISSN 2191-5318 |
| issn_series | 2191-530X |
| copyright | The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022 |
|Archiver|手機版|小黑屋|
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