Application of Decision Tree Algorithm Based on DM in the Development of Preschool Children's PE

Abstract

The degree and level of early childhood education are an important guarantee to show whether a country's overall planning mechanism is reasonable, whether the education system is perfect, whether the people's livelihood is harmonious, and whether the national quality can develop sustainably. The American Sports and PE Association, which is at the leading level of PE in the world, has formed an advanced high-quality children's PE system on the basis of its long-term professional evolution. The association provides scientific and appropriate PE activities for children, which is not only a necessary premise to ensure the normal physical development and physical and mental health development of children but also an important aspect of kindergarten teaching. Therefore, a lot of data has been accumulated in the development of children's PE, and it is of practical significance for promoting the construction of children's PE to dig out the knowledge hidden behind these data and provide help for people's decision-making. As early as 1988, at the 10th World Congress of the World Federation of Future Studies, experts from all over the world discussed the results of “children's future” and generally believed that “children are basic human resources,” and creating a world that is conducive to their development should be recognized as a regional and global priority measure. In this paper, the decision tree algorithm in DM is studied, and combining with the characteristics of data in educational management information, the mining of classification rules of educational information and ID3 algorithm are analyzed.