数据挖掘在高职院校课程设置中的应用  

Applications of the Data Mining in Curriculum Planning in Higher Vocational Institutes

作　　者：沈璐[1,2] 

机构地区：[1]合肥工业大学计算机与信息学院,安徽合肥230000 [2]芜湖职业技术学院,安徽芜湖241000

出　　处：《芜湖职业技术学院学报》2010年第4期19-21,共3页Journal of Wuhu Institute of Technology

摘　　要：当前高职院校的课程设置既要给学生打下坚实的专业基础又要符合社会各用人单位的需求,所以找到一个合理可行的课程设置方法显得尤为重要。用数据挖掘理论中APriori关联算法以期找出课程之间的关联可以为高职院校的课程设置提供一定的理论依据。Current curriculum in higher vocational education is required to not only enhance the student＇s professional knowledge but also meet the requirements of various corporations,so it＇s important to find reasonable ways to planning curriculum.Using Apriori algorithm in the theory of date mining to study association in various courses can provide theoretical basis for curriculum planning in colleges.

关 键 词：数据挖掘 APriori关联算法 课程设置 

分 类 号：G642[文化科学—高等教育学]