一种改进的Apriori算法在试卷评估中的应用研究  

DESIGN AND IMPLEMENTATION OF NEWS GATHERING SYSTEM BASED ON WEB STRUCTURE

作　　者：陈世保[1] 吴国凤[2] 

机构地区：[1]安徽财贸职业学院,安徽合肥230601 [2]合肥工业大学,安徽合肥230009

出　　处：《井冈山大学学报（自然科学版）》2012年第2期58-62,共5页Journal of Jinggangshan University (Natural Science)

摘　　要：试卷评估是教学工作中非常重要的一部分,针对传统试卷评估方法中仅仅是对试卷进行宏观整体的分析与评价,缺乏对试卷的微观分析。文章将一种高效的改进的Apriori算法应用在试卷分析中,挖掘出知识点之间的关联,得到的结论对于教师改进教学方法、优化教学效果,提高命题水平和试卷质量对有巨大的指导作用,对于学生有针对性的学也具有巨大的指导作用,同时对于教学管理部门的决策提供了理论依据。Examination paper evaluation is a very important part of the traditional assessment methods in the teaching work. According to the macroscopic analysis on the examination paper and the lack of microscopic analysis, we improves the Apriori algorithm of the examination paper analysis which excavates the knowledge correlation, improves their teaching methods, optimizes the effect of teaching and the quality of the proposition. It also has a huge role in guiding students learning and theoretical basis for the decision provided for teaching management.

关 键 词：APRIORI算法 试卷评估 关联规则 数据挖掘 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]