Nature of Volleyball Sport, Performance Analysis in Volleyball, and the Recent Advances of Machine Learning Application in Sports
This chapter presents the overview, nature, and history of the volleyball sport. The chapter also highlights the performance -related parameters that contribute to the successful delivery of performance in this sport. The recent advances in the application of various machine learning models toward...
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Springer Science and Business Media Deutschland GmbH
2021
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my-unisza-ir.52062022-02-08T07:46:36Z http://eprints.unisza.edu.my/5206/ Nature of Volleyball Sport, Performance Analysis in Volleyball, and the Recent Advances of Machine Learning Application in Sports Abdullah, Prof. Madya Dr. Mohamad Razali T Technology (General) This chapter presents the overview, nature, and history of the volleyball sport. The chapter also highlights the performance -related parameters that contribute to the successful delivery of performance in this sport. The recent advances in the application of various machine learning models towards solving the classification and regression problems associated with the data often acquired in the sporting domain are also provided. Moreover, the detailed procedures of the participants’ recruitment, data collection techniques via performance analysis as well as various univariate statistical analyses employed to achieve the purpose of the present study have also been presented. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd Springer Science and Business Media Deutschland GmbH 2021 Book Section NonPeerReviewed text en http://eprints.unisza.edu.my/5206/1/FH05-FSSG-21-53721.pdf Abdullah, Prof. Madya Dr. Mohamad Razali (2021) Nature of Volleyball Sport, Performance Analysis in Volleyball, and the Recent Advances of Machine Learning Application in Sports. In: SpringerBriefs in Applied Sciences and Technology. Springer Science and Business Media Deutschland GmbH, pp. 1-11. ISBN 2191530X |
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T Technology (General) Abdullah, Prof. Madya Dr. Mohamad Razali Nature of Volleyball Sport, Performance Analysis in Volleyball, and the Recent Advances of Machine Learning Application in Sports |
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This chapter presents the overview, nature, and history of the volleyball sport. The chapter also highlights the
performance -related parameters that contribute to the successful delivery of performance in this sport. The
recent advances in the application of various machine learning models towards solving the classification and
regression problems associated with the data often acquired in the sporting domain are also provided. Moreover,
the detailed procedures of the participants’ recruitment, data collection techniques via performance analysis as well
as various univariate statistical analyses employed to achieve the purpose of the present study have also been
presented. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd |
format |
Book Section |
author |
Abdullah, Prof. Madya Dr. Mohamad Razali |
author_facet |
Abdullah, Prof. Madya Dr. Mohamad Razali |
author_sort |
Abdullah, Prof. Madya Dr. Mohamad Razali |
title |
Nature of Volleyball Sport, Performance Analysis in Volleyball, and the Recent Advances of Machine Learning Application in Sports |
title_short |
Nature of Volleyball Sport, Performance Analysis in Volleyball, and the Recent Advances of Machine Learning Application in Sports |
title_full |
Nature of Volleyball Sport, Performance Analysis in Volleyball, and the Recent Advances of Machine Learning Application in Sports |
title_fullStr |
Nature of Volleyball Sport, Performance Analysis in Volleyball, and the Recent Advances of Machine Learning Application in Sports |
title_full_unstemmed |
Nature of Volleyball Sport, Performance Analysis in Volleyball, and the Recent Advances of Machine Learning Application in Sports |
title_sort |
nature of volleyball sport, performance analysis in volleyball, and the recent advances of machine learning application in sports |
publisher |
Springer Science and Business Media Deutschland GmbH |
publishDate |
2021 |
url |
http://eprints.unisza.edu.my/5206/1/FH05-FSSG-21-53721.pdf http://eprints.unisza.edu.my/5206/ |
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