The Admissions Big Data Mining Research Based on Real Data from a Normal University

摘要

In this paper, a Normal University's 2011-2016 real admissions data are analyzed by the Apriori, K-MEANS and KNN algorithm. The result shows that the university's normal students are more likely to choose other normal majors than to choose other non-normal majors related the normal majors and the overall situation of the Normal University's student enrollment is relatively stable. Liberal arts college is the most popular college. Chinese language and Literature (normal) and English (normal) are more popular in the Normal University. The result reveals the internal connection between the various majors and has a guiding role for specialties setup in the university.