摘要
高等院校在每年评选奖学金工作中积累大量的数据,将数据挖掘技术中的关联规则挖掘算法Apriori应用于学校学生综合测评中,通过对这些数据分析,找到学生综合测评与学生成绩、家庭情况、性别、父母职业、父母教育背景、父母职业、学生在校获奖情况等相关,为学生评优工作、课程开设顺序提供有力证据。
The massive data has been accumulated in the selection of scholarship annually among different colleges and universities in China. Applies the Apriori algorithm of association rules in student comprehensive evaluation system, through the analysis of data, figures out the relationship between the evaluation and various factors, provides positive evidence to the evaluation work and the reasonable sequence of courses.
出处
《现代计算机》
2017年第1期11-13,共3页
Modern Computer
关键词
关联规则
APRIORI
数据挖掘
综合测评
Association Rules
Apriori Algorithm
Data Mining
Comprehensive Evaluation
