Current Trend of Analysis in High-Performance Sport and the Recent Updates in Data Mining and Machine Learning Application in Sports

Rabiu Muazu Musa; Anwar P. P. Abdul Majeed; Mohamad Razali Abdullah; Garry Kuan; Mohd Azraai Mohd Razman

doi:10.1007/978-981-19-7049-8_1

Current Trend of Analysis in High-Performance Sport and the Recent Updates in Data Mining and Machine Learning Application in Sports

Rabiu Muazu Musa, Anwar P. P. Abdul Majeed^*, Mohamad Razali Abdullah, Garry Kuan, Mohd Azraai Mohd Razman

^*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceeding › Chapter › peer-review

3 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	SpringerBriefs in Applied Sciences and Technology
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	1-11
Number of pages	11
DOIs	https://doi.org/10.1007/978-981-19-7049-8_1
Publication status	Published - 2022
Externally published	Yes

Publication series

Name	SpringerBriefs in Applied Sciences and Technology
ISSN (Print)	2191-530X
ISSN (Electronic)	2191-5318

Keywords

Clustering algorithms
Data mining
European soccer leagues
High-performance sports
Machine learning models
Performance evaluation
Soccer referees

Access to Document

10.1007/978-981-19-7049-8_1

Cite this

Muazu Musa, R., P. P. Abdul Majeed, A., Abdullah, M. R., Kuan, G., & Mohd Razman, M. A. (2022). Current Trend of Analysis in High-Performance Sport and the Recent Updates in Data Mining and Machine Learning Application in Sports. In SpringerBriefs in Applied Sciences and Technology (pp. 1-11). (SpringerBriefs in Applied Sciences and Technology). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-7049-8_1

Muazu Musa, Rabiu ; P. P. Abdul Majeed, Anwar ; Abdullah, Mohamad Razali et al. / Current Trend of Analysis in High-Performance Sport and the Recent Updates in Data Mining and Machine Learning Application in Sports. SpringerBriefs in Applied Sciences and Technology. Springer Science and Business Media Deutschland GmbH, 2022. pp. 1-11 (SpringerBriefs in Applied Sciences and Technology).

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abstract = "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.",

keywords = "Clustering algorithms, Data mining, European soccer leagues, High-performance sports, Machine learning models, Performance evaluation, Soccer referees",

author = "{Muazu Musa}, Rabiu and {P. P. Abdul Majeed}, Anwar and Abdullah, {Mohamad Razali} and Garry Kuan and {Mohd Razman}, {Mohd Azraai}",

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year = "2022",

doi = "10.1007/978-981-19-7049-8_1",

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Muazu Musa, R, P. P. Abdul Majeed, A, Abdullah, MR, Kuan, G & Mohd Razman, MA 2022, Current Trend of Analysis in High-Performance Sport and the Recent Updates in Data Mining and Machine Learning Application in Sports. in SpringerBriefs in Applied Sciences and Technology. SpringerBriefs in Applied Sciences and Technology, Springer Science and Business Media Deutschland GmbH, pp. 1-11. https://doi.org/10.1007/978-981-19-7049-8_1

Current Trend of Analysis in High-Performance Sport and the Recent Updates in Data Mining and Machine Learning Application in Sports. / Muazu Musa, Rabiu; P. P. Abdul Majeed, Anwar; Abdullah, Mohamad Razali et al.
SpringerBriefs in Applied Sciences and Technology. Springer Science and Business Media Deutschland GmbH, 2022. p. 1-11 (SpringerBriefs in Applied Sciences and Technology).

Research output: Chapter in Book or Report/Conference proceeding › Chapter › peer-review

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AU - Muazu Musa, Rabiu

AU - P. P. Abdul Majeed, Anwar

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AU - Kuan, Garry

AU - Mohd Razman, Mohd Azraai

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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

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Muazu Musa R, P. P. Abdul Majeed A, Abdullah MR, Kuan G, Mohd Razman MA. Current Trend of Analysis in High-Performance Sport and the Recent Updates in Data Mining and Machine Learning Application in Sports. In SpringerBriefs in Applied Sciences and Technology. Springer Science and Business Media Deutschland GmbH. 2022. p. 1-11. (SpringerBriefs in Applied Sciences and Technology). doi: 10.1007/978-981-19-7049-8_1

Current Trend of Analysis in High-Performance Sport and the Recent Updates in Data Mining and Machine Learning Application in Sports

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