Knowledge Discovery of the Orientation of University Graduates in Beijing Area Based on Decision Tree

Abstract

With the expansion of undergraduate enrolment in universities in Beijing, the pressure on the graduates is increasing. It is particularly important to study the orientation of graduates. In this paper, through questionnaire method to collect information about undergraduates in Beijing, according to the characteristics of undergraduates from the data collected, we built a decision tree model with C5.0 algorithm and pruned. The rules of classification are used to display the mining results intuitively. Then, we analyzed and verified the model to provide theoretical support for the undergraduates' choice of direction.