Data Mining on Test Data of Physical Health Standard

This with the development of sports and modern computer technologies, a great deal of data were recorded, including training data of athletes, test data of students in sports course, and test data of physical health standard (PHS). However, usage of these records is limited. Patterns and relationships among data may still retain hidden. Data mining, usually applied in business fields, is a helpful technology to extract implicit and potentially useful information and might be used to analyze data in sports field. In this paper, we perform data mining on test data of PHS, using Microsoft Naive Bayes algorithm and SQL Server 2005. In the mining experiment, scores of height/weight, vital capacity, grip strength, standing long jump and step test of a student are used for input attributes, and score level of the student is used for prediction attribute. As the results, we establish a fairly good mining model and find that score of height/weight is the most important influence factor on score level of a student.