关键词: 数据挖掘, 成绩分析, 关联规则, 聚类

Abstract: In order to meet the needs of the improvement of the students’ learning status and training scheme reform in the college of information engineering of a university, taking the course scores of undergraduates in the college of information engineering from 2008 to 2014 as the objects of study, a method which combines the Apriori algorithm with interest and the improved K-means is proposed to analyze students’ grades. First of all, this research uses the improved K-means to discretize the scores. Then, Apriori algorithm with the degree of interest is adopted for data mining. According to the association rules between courses and the drawing of network diagram of course relations, this research analyzes the relationship among courses and the importance of courses. Finally, the method can reduce a lot of meaningless rules and improves the accuracy of mining results. And the results obtained by using the method can not only provide some reference information for the design and improvement of teaching programs, but also help to improve the teaching quality of schools and students’ learning quality.

Key words: data mining, score analysis, association rule, clustering