英文摘要 |
During the effects of the low fertility rate, the Ministry of Education has decided to use the rate of freshman registration as the basis for the survival of private universities. As a result of the increase in the proportion of individual admission, it is the most important issue for universities, especially private universities, to grasp and choose students who are strongly enrolled from the individual admission. In the past, the department chose students through the subjective judgment, but also the lack of follow-up verification. In this paper, by the data mining, the analysis of student data will be analyzed to find out the association rules about students' location, gender, candidate colleges and decision results. Then to build a decision tree based on the association rules, so the decision tree to predict the number of freshmen of individual admission for next semester, the model accuracy rate of up to 87.5%. |