摘要
随着网络考试的逐步推广,如何有效地利用反馈的考试数据已成为人们关注的焦点.基于Apriori算法,提出了改进的Apriori算法——DMApriori,并应用到基于J2EE架构的网络考试系统中,从反馈的考卷中抽取失分题之间的相关联系,为教学工作提供决策支持.实例结果表明,新算法能减少存储空间、降低运行时间、提高算法的效率,也证明了在考试系统中使用关联规则的可行性和有效性.
This paper firstly posts an improved algorithm on Apriori, which applied to network exam system based on J2EE. Then the relevance connections between questions with error answer in the exam paper are mined,which provides universities some educational information in education decision and management. The result of the example shows the improved algorithm promotes the algorithm efficiency through cutting down the store space and the running time, and proves the validity and effectiveness of association rules applied to network exam system.
出处
《成都大学学报（自然科学版）》
2007年第3期254-257,共4页
Journal of Chengdu University（Natural Science Edition）
