Annotated Bibliography: Data Mining In Elite Sports
Measurement in Physical Education and Exercise Science, 17: 171–186, 2013
Copyright © Taylor & Francis Group, LLC
ISSN: 1091-367X print / 1532-7841 online
DOI: 10.1080/1091367X.2013.805137
Data Mining in Elite Sports: A Review and a Framework
Bahadorreza Ofoghi
Institute of Sport, Exercise, and Active Living, Victoria University
Melbourne, Victoria, Australia
Victorian Institute of Sport
Albert Park, Victoria, Australia
John Zeleznikow and Clare MacMahon
Institute of Sport, Exercise, and Active Living, and School of Management and
Information Systems, Victoria University
Melbourne, Victoria, Australia
Markus Raab
Institute of Psychology, German Sport University Cologne
Cologne, Germany
Sophisticated data analytical methods such as data mining, where the …show more content…
In the elite sports domain, data mining methods have generally been used to model the interrelationships of performance measures and attributes (e.g., Ofoghi et al., 2012; Wilson et al.,
2001) and to also extract athlete performance patterns from previously held competitions (e.g.,
Chen, Homma, Jin, & Yan, 2007; Edelmann-Nusser, Hohmann, & Henneberg, 2002; Ofoghi,
Zeleznikow, MacMahon, & Dwyer, 2010). These can be used in the decision-making processes to support strategic planning and athlete selection.
Commonly Used Data Mining Methods in Elite Sports
Clustering. Clustering is one form of unsupervised learning that is concerned with finding how the data are organized and summarizing/explaining key features of the data (Clausen, 2012).
The result of a cluster analysis is the formation of a number of groups. The members of
Copyright © Taylor & Francis Group, LLC
ISSN: 1091-367X print / 1532-7841 online
DOI: 10.1080/1091367X.2013.805137
Data Mining in Elite Sports: A Review and a Framework
Bahadorreza Ofoghi
Institute of Sport, Exercise, and Active Living, Victoria University
Melbourne, Victoria, Australia
Victorian Institute of Sport
Albert Park, Victoria, Australia
John Zeleznikow and Clare MacMahon
Institute of Sport, Exercise, and Active Living, and School of Management and
Information Systems, Victoria University
Melbourne, Victoria, Australia
Markus Raab
Institute of Psychology, German Sport University Cologne
Cologne, Germany
Sophisticated data analytical methods such as data mining, where the …show more content…
In the elite sports domain, data mining methods have generally been used to model the interrelationships of performance measures and attributes (e.g., Ofoghi et al., 2012; Wilson et al.,
2001) and to also extract athlete performance patterns from previously held competitions (e.g.,
Chen, Homma, Jin, & Yan, 2007; Edelmann-Nusser, Hohmann, & Henneberg, 2002; Ofoghi,
Zeleznikow, MacMahon, & Dwyer, 2010). These can be used in the decision-making processes to support strategic planning and athlete selection.
Commonly Used Data Mining Methods in Elite Sports
Clustering. Clustering is one form of unsupervised learning that is concerned with finding how the data are organized and summarizing/explaining key features of the data (Clausen, 2012).
The result of a cluster analysis is the formation of a number of groups. The members of