摘要
本文通过对数据挖掘技术的研究,采用关联规则法对学生答题数据进行分析,并在关联规则使用中采用改进型的Apriori算法进行运算,构建高频集,并对于高分学生和低分学生的试卷进行了加权处理,使得高频集中的试题在知识点和难度上的关联更加突出,便于在自动组卷时更科学地评价试卷。
in this paper, based on the research of the data mining technology, association rules method is used to analyze the students answer the questions on the data, and in the association rules using improved Apriori algorithm is adopted to improve the operation and construction of high frequency set, and for the test of high score and low score students weighted processing, makes the high frequency questions concentrated on knowledge point and the difficulty of correlation is more outstanding, to facilitate the automatic group volume when a scientific evaluation on the test paper.
出处
《网络安全技术与应用》
2014年第9期37-37,40,共2页
Network Security Technology & Application
基金
福建省教育厅科技项目(JB13267)
