Electrotechnical and Computer Engineering
Vol. 38 No. 01 (2023): Proceedings of Faculty of Technical Sciences
PREDICTING THE FLOW OF TENNIS PLAYER’S CARIER USING DATA MINING
Abstract
This paper describes the process of clustering using of tennis players based on selected physical characteristics and playing styles. A regression curve was created for each cluster, which indicates the dependence of the players' success through the seasons. The entire process was validated using the leave-one-out method. All steps of the system are described and visualized in detail.
References
[1] Association of Tennis Professionals (ATP), Github
https://github.com/serve-and-volley/atp-world-tour-tennis- data.git.
[2] Association of Tennis Professionals (ATP), ATP World tour www.atpworldtour.com
[4] Miha Mlakar, Tea Tušar , “Analyzing and Predicting Peak Performance Age of Professional Tennis Players” , Jožef Stefan Institute Jamova cesta 39
SI-1000 Ljubljana, Slovenia, pp 1-4, 2017.
[3] “Peak Performance and Age Among Superathletes: Track and Field, Swimming, Baseball, Tennis, and Golf”, Richard Schulz, Christine Curnow, Jurnal of Gerontology: PSYCHOLOGICAL SCIENCES, Vol. 43, No. 5, P113 – 120, 1988.