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.
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
