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This paper introduces and analyses the data mining in the management of students' sports grades. We use the
decision tree in analysis of grades and investigate attribute selection measure including data cleaning. We take sports
course score of some university for example and produce decision tree using ID3 algorithm which gives the detailed calculation
process. Because the original algorithm lacks termination condition, we propose an improved algorithm which
can help us to find the latency factor which impacts the sports grades.