As the result of the enrollment scale of universities expanding,the number of students in universities increased gradually during these years,which lead the conventionally used statistical analysis methods on students' scores not to match the need of in-depth analysis.To solve this problem,a students' information database was analyzed and the ID3 algorithms in data mining were used to classify the information,and then the inner-causes influencing students' scores were concluded.
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