application of data mining to identifying factors affecting gymnasts' success in sports tests

gymnastics as a basic sport needs learning basic skills and abilities such as strength, speed, flexibility and agility. team coaches and supervisors always try to evaluate and measure these skills using designed tests in different time periods. identifying the success of a gymnast based on these results needs tremendous experience. accordingly this paper attempted to localize the standard test of america national team in accordance with age and sex of kurdistan gymnasts and to evaluate various skills based on data mining techniques so that the most influential skills in gaining good results can be examined by algorithms of extracting key parameters. results indicated that the most influential factors in the success of a gymnast in the tests were power and speed. finally, it can be noted that gymnasts who have more power and speed than the others at the beginning of the exercise can be more successful in this field.