关联规则挖掘算法Apriori在学生成绩分析中的应用  

Application of Association Rules for Mining Apriori Algorithm to Analysis of Students'Performance

作　　者：崔学文[1] 

机构地区：[1]鸡西大学,黑龙江鸡西158100

出　　处：《河北北方学院学报（自然科学版）》2011年第1期44-47,共4页Journal of Hebei North University:Natural Science Edition

摘　　要：课程自身、课程与课程之间及课程设置与课程成绩之间存在着一定的联系,通过比较分析可以发现学生成绩背后所隐藏的有价值信息.详细介绍了关联规则挖掘算法Apriori在学生成绩分析中的具体应用,给出了挖掘实施的流程图,以实例的方式深入探讨了数据挖掘技术的实现过程.通过关联规则的算法理论,最终得出有实际价值的规则及结论,从而实现了数据挖掘技术在学生成绩分析中的应用.There exists certain relationship between students＇performances and the course itself,intra courses and intra curriculum provisions.Through comparative analysis the valuable information can be found behind the students＇performances.This paper introduced in detail the specific application of association rules for mining Apriori algorithm to analysis of students＇performances.It has given the flow chart of mining implementation,and thoroughly discussed the realization process of data mining technology by examples.By algorithm theory of association rules the rules and conclusion with practical value are obtained,thus realizing the application of data mining technology to the analysis of students＇performances.

关 键 词：数据挖掘 关联规则 APRIORI算法 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]