Title :
Knowledge Rule Discovery Based on Training Data of Rowing
Author :
Guangjun, Li ; Kejun, Pei
Author_Institution :
Dept. of Sports Eng. & Inf., Wuhan Inst. of Phys. Educ., Wuhan, China
Abstract :
In order to better guide training according to the training test data, this paper uses the method of the time series data analysis, to obtain the knowledge rules from the training data of rowing through analysis. Namely the basis of different training content and the test project, we establish the different threshold value, thus obtain the athlete training effect of different time: The training excessively slightly, training quantity oversized, the training result enhancing with steady steps. The knowledge rules may be provided to the trainer to formulate the training plan for reference, thus we can enhance the science training effect.
Keywords :
computer based training; data analysis; data mining; sport; time series; athlete training effect; boat rowing; guide training; knowledge rule discovery; science training effect; sports training; time series data analysis method; training content; training test data; Bioinformatics; Data mining; Physiology; Testing; Time series analysis; Training; Training data; knowledge rules; rowing; sports training;
Conference_Titel :
Future Computer Science and Education (ICFCSE), 2011 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4577-1562-4
DOI :
10.1109/ICFCSE.2011.87