TY - CHAP
T1 - Nature of Volleyball Sport, Performance Analysis in Volleyball, and the Recent Advances of Machine Learning Application in Sports
AU - Muazu Musa, Rabiu
AU - Abdul Majeed, Anwar P.P.
AU - Suhaimi, Muhammad Zuhaili
AU - Mohd Razman, Mohd Azraai
AU - Abdullah, Mohamad Razali
AU - Abu Osman, Noor Azuan
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Clustering algorithms
KW - Machine learning models
KW - Performance analysis
KW - Performance indicators
KW - Univariate analysis
KW - Volleyball
UR - http://www.scopus.com/inward/record.url?scp=85108429811&partnerID=8YFLogxK
U2 - 10.1007/978-981-16-3192-4_1
DO - 10.1007/978-981-16-3192-4_1
M3 - Chapter
AN - SCOPUS:85108429811
T3 - SpringerBriefs in Applied Sciences and Technology
SP - 1
EP - 11
BT - SpringerBriefs in Applied Sciences and Technology
PB - Springer Science and Business Media Deutschland GmbH
ER -