Check the features and causes of the tendency of individuals to perform sports activities with the use of data mining algorithms

The advancement of technology and its impact in the area of human life, the human face of poverty with motor. reduce the physical cross-mobility in everyday life--a development that, due to the amenities and comforts of modern life and techniques comes the necessity to engage in sports and physical education before ago requiring and conducting regular and continuous physical gestures in this direction, it is quite necessary . In the contemporary world of sport as a phenomenon in a special position of communities. The overall goal of this study was to investigate the features, motives and the causes of the participation age group over 15 years in the sports activities. In this research, K-Means algorithm J48 on 200 cases of data subjects executed in Zanjan province and city models created from the implementation of the algorithm and the two reviews is located. The results of this research suggest it is, features such as gender, employment status, family status, age, sports activities, sport activities can be a significant impact on the type of sport activities distinguishing motivated people. These results can be worthwhile, officials, managers and trainers to identify factors that increase the sports motivation of sports activities in the various subjects help tools.