数据挖掘在学生校内活动情况分析中的应用  

Application of Data Mining on Analysis Students' Activities within the University

作　　者：裴嫣珺[1,2] 

机构地区：[1]华东师范大学,教育技术专业上海20062 [2]上海第二工业大学图书馆,上海201209

出　　处：《上海第二工业大学学报》2011年第1期60-64,共5页Journal of Shanghai Polytechnic University

摘　　要：以一个J2EE框架下的"学生校内活动情况分析系统"为例,通过从校园一卡通中提取数据进行分析和研究,展现了数据挖掘技术在研究学生校内活动情况、学生行为分析中的应用,为学校的教学与管理提供了决策依据。主要介绍了"学生校内活动情况分析系统"实现的核心模型。首先利用K-means算法对学生进行分类,然后对已分类的学生人群使用Apriori算法进行关联规则挖掘。对挖掘出的关联规则又进行了详细的分析,进一步验证了系统的有效性。Under the framework of a J2EE,＂System on analysis of students＇activities within the university＂is taken as an example.By extracting data from the campus card,the article shows the practical application of data mining technique on student activities researches and behavior analysis,in order to provide decisions and references for university teaching and administration.＂System on analysis of students＇activities within the university＂is established and the core model of system implementation is stated.After using K-means algorithm to classify students,Apriori algorithm is used for mining association rules with students categorized.Finally association rule in detail is analyzed,and the effectiveness of the system is further validated.

关 键 词：数据挖掘 校园一卡通 关联规则 聚类 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]