Nakahara, Hiroshi Takeda, Kazuya Fujii, Keisuke
Published in
International Journal of Computer Science in Sport
In baseball, every play on the field is quantitatively evaluated and the statistics have an effect on individual and team strategies. The weighted on base average (wOBA) is well known as a measure of a batter’s hitting contribution. However, this measure ignores the game situation, such as the runners on base, which coaches and batters are known to...
Brinkjans, David Memmert, Daniel Imkamp, Jonas Perl, Jürgen
Published in
International Journal of Computer Science in Sport
Typical performance indicators in professional quantitative soccer analysis simplify complex matters, resulting in loss of information. Hence, a novel approach to characterize the performance of soccer teams was investigated: Success-Scores, combining space control with ball control and the correlation between the two. Success-Score Profiles were c...
Komitova, Rumena Raabe, Dominik Rein, Robert Memmert, Daniel
Published in
International Journal of Computer Science in Sport
Time series data mining deals with extracting useful and meaningful information from time series data. Recently, the increasing use of temporal data, in particular time series data, has received much attention in the literature. Since most of sports data contain time information, it is natural to consider the temporal dimension in form of time seri...
Kyriakidis, G. Panoutsakopoulos, V. Paraschos, I. Chatzopoulos, D. Yiannakos, Α. Papaiakovou, G.
Published in
International Journal of Computer Science in Sport
The purpose of this study was to evaluate three distinct methods of teaching the three-step ball throw simulating the javelin throw technique to primary school students. The sample consisted of 131 primary school students of 5th and 6th grade (Mage = 11.4, SD = 0.47 years) randomly divided into three groups. The control group (CON) received typical...
Mandorino, M. Figueiredo, A.J. Cima, G. Tessitore, A.
Published in
International Journal of Computer Science in Sport
Periods of intensified training may increase athletes’ fatigue and impair their recovery status. Therefore, understanding internal and external load markers-related to fatigue is crucial to optimize their weekly training loads. The current investigation aimed to adopt machine learning (ML) techniques to understand the impact of training load parame...
Ariyaratne, M.K.A. Silva, R.M.
Published in
International Journal of Computer Science in Sport
This review explores the avenues for the application of meta-heuristics in sports. The necessity of sophisticated algorithms to investigate different NP hard problems encountered in sports analytics was established in the recent past. Meta-heuristics have been applied as a promising approach to such problems. We identified team selection, optimal l...
Bürger, D. Ritter, Y. Pastel, S. Sprich, M. Lück, T. Hacke, M. Stucke, C. Witte, K.
Published in
International Journal of Computer Science in Sport
Virtual reality (VR) is a tool used in sports to train specific situations under standardized conditions. However, it remains unclear whether improved performances from VR training can be transferred into real world (RW). Therefore, the current study compares beginner training of balance beam tasks in VR (simulated balance beam height, n = 17) with...
Ziyi, Zhang Takeda, Kazuya Fujii, Keisuke
Published in
International Journal of Computer Science in Sport
Classifying multi-agent cooperative behavior is a fundamental problem in various scientific and engineering domains. In team sports, many cooperative plays can be manually labelled by experts. However, it requires high labour costs and a large amount of unlabelled data is not utilised. This paper examines semi-supervised learning methods for the cl...
Dobreff, Gergely Molnar, Marton Toka, Laszlo
Published in
International Journal of Computer Science in Sport
Cloud-based services revolutionize how applications are designed and provisioned in more and more application domains. Operating a cloud application, however, requires careful choices of configuration settings so that the quality of service is acceptable at all times, while cloud costs remain reasonable. We propose an analytical queuing model for c...
Ranaweera, J. Zanin, M. Weaving, D. Withanage, C. Roe, G.
Published in
International Journal of Computer Science in Sport
Typical player management processes focus on managing an athlete’s physical, physiological, psychological, technical and tactical preparation and performance. Current literature illustrates limited attempts to optimize such processes in sports. Therefore, this study aimed to analyze the application of Business Process Management (BPM) in healthcare...
