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高校课程相关性粗糙集分析模型及应用
引用本文:贺超波,陈启买.高校课程相关性粗糙集分析模型及应用[J].计算机工程与应用,2011,47(27):233-235.
作者姓名:贺超波  陈启买
作者单位:1.仲恺农业工程学院 计算机科学与工程学院,广州 5102252.华南师范大学 教务处,广州 510631
基金项目:广东省科技计划项目(No.2009B010800036); 仲恺农业工程学院教育教学改革研究基金项目(No.G2100008)
摘    要:将目前在数据挖掘领域应用广泛的粗糙集理论引入高校课程相关性分析中,提出了基于粗糙集的高校课程相关性分析模型。该模型首先运用粗糙集的相关性质对参与分析的决策数据进行属性约简,从而获得了较小决策数据集,然后应用基于分辨矩阵的关联规则提取算法提取关联规则,最后对规则进行评估与解释。通过对某高校某专业学生修读课程考试成绩数据进行实际应用分析,发现了课程成绩数据中隐藏的课程相关性规则,分析结果表明该模型在学分制体系下指导学生选课以及制定专业修读计划具有一定的辅助作用。

关 键 词:粗糙集  分辨矩阵  关联规则  课程相关性  学分制  
修稿时间: 

Rough set analysis model for correlation between courses and its application
HE Chaobo,CHEN Qimai.Rough set analysis model for correlation between courses and its application[J].Computer Engineering and Applications,2011,47(27):233-235.
Authors:HE Chaobo  CHEN Qimai
Affiliation:1.Department of Computer Science and Engineering,Zhongkai University of Agriculture and Engineering,Guangzhou 510225,China2.Academic Affairs Office,South China Normal University,Guangzhou 510631,China
Abstract:The rough set which is used in the field of data mining extensively is introduced in the analysis of courses correlation in the college and the analysis model for correlation between courses based on rough set is put forward.Firstly,this model makes an attribute reduction for the original data set to get the smaller decision data set.Secondly,the correlative rules extracting approach based on discernable matrix is applied to extract association rules from decision data set.At last the association rules are ...
Keywords:rough set  discernable matrix  association rule  course correlation  the credit system
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