摘要
以总结学生各门考试成绩内在联系规则为目的,构建事实星座模型对考试数据所组成的数据仓库进行描述,并采用关联规则挖掘方法中的Apriori算法,对数据仓库中的数据进行分阶处理,生成频繁数据集,发现了各门成绩潜藏的内在规则,得出了一门功课成绩的好坏是由多门功课学习成绩情况所决定的结论,该结论能为教育决策提供一定的依据.
To examine and summarize the internal relationship between a student＇s scores of various examinations effectively, a fact constellation model can be constructed for describing the data warehouse composed of examination data. In the model, the Apriori algorithm used in mining based on association rules can be used to treat the data in the data warehouse and generate frequency data set to obtain the hidden internal relationship between a student＇s scores of various tests. The conclusion arrived at using the model that a student＇s test score for one subject is determined by his test grades for other subjects can serve as basis for educational policy-making.
出处
《五邑大学学报（自然科学版）》
CAS
2009年第2期64-68,共5页
Journal of Wuyi University(Natural Science Edition)
