TY - CHAP
T1 - Current Trend of Analysis in High-Performance Sport and the Recent Updates in Data Mining and Machine Learning Application in Sports
AU - Muazu Musa, Rabiu
AU - P. P. Abdul Majeed, Anwar
AU - Abdullah, Mohamad Razali
AU - Kuan, Garry
AU - Mohd Razman, Mohd Azraai
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2022
Y1 - 2022
N2 - This chapter presents the current trend of evaluation in high-performance sports and the recent development in the application of data mining and machine learning in the sports domain. The chapter also highlights the performance-related indicators that influence the decision-making ability as well as the overall performance of the referees in the European soccer leagues. Moreover, the detailed procedures of the data collection, data sample, and characteristics as well as various univariate and multivariate statistical analyses employed to achieve the purpose of the present study have also been presented.
AB - This chapter presents the current trend of evaluation in high-performance sports and the recent development in the application of data mining and machine learning in the sports domain. The chapter also highlights the performance-related indicators that influence the decision-making ability as well as the overall performance of the referees in the European soccer leagues. Moreover, the detailed procedures of the data collection, data sample, and characteristics as well as various univariate and multivariate statistical analyses employed to achieve the purpose of the present study have also been presented.
KW - Clustering algorithms
KW - Data mining
KW - European soccer leagues
KW - High-performance sports
KW - Machine learning models
KW - Performance evaluation
KW - Soccer referees
UR - http://www.scopus.com/inward/record.url?scp=85141740250&partnerID=8YFLogxK
U2 - 10.1007/978-981-19-7049-8_1
DO - 10.1007/978-981-19-7049-8_1
M3 - Chapter
AN - SCOPUS:85141740250
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 -