首页> 外文会议>Asia-Pacific conference on information processing >The Application Research on Apriori Algorithm in Analysis of Student Scores in University
【24h】

The Application Research on Apriori Algorithm in Analysis of Student Scores in University

机译:APRIORI算法在大学学生成绩分析中的应用研究

获取原文

摘要

There are large quantity of data about students scores in each college and university, but the useful information got from these data is relatively not enough, it lead to a immensely waste of resource. Using data mining technology to analyze student score is a good way for this problem's resolve. Apriori algorithm which is a kind of association rules mining algorithm in data mining technology is this paper's primary study. Based on students score history database, Apriori algorithm is applied to mining the correlative relations of courses for students understanding each course's learning feature, and for academic department arranging courses. The actual examples have proved that this method is effective on student score analyzing, it should have a broad application prospect.
机译:每个学院和大学的学生分数都有大量数据,但是从这些数据获得的有用信息相对不够,它导致浪费大量资源。使用数据挖掘技术来分析学生分数是这个问题的解决方案。 APRIORI算法是一种关联规则挖掘数据挖掘技术的挖掘算法是本文的主要研究。基于学生评分历史数据库,Apriori算法应用于挖掘学生了解每个课程的学习功能的课程的相关关系,以及学术部安排课程。实际的例子证明,该方法对学生评分分析有效,它应该具有广泛的应用前景。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号