计算机与现代化 ›› 2010, Vol. 1 ›› Issue (8): 25-28.doi: 10.3969/j.issn.1006-2475.2010.08.008

• 算法设计与分析 • 上一篇    下一篇

关联规则挖掘在教学评价中的应用研究

文继权,屈武江   

  1. 大连水产学院职业技术学院,辽宁 大连 116300
  • 收稿日期:2010-03-23 修回日期:1900-01-01 出版日期:2010-08-27 发布日期:2010-08-27

Application Research of Mining Association Rules in Teaching Evaluation

WEN Ji-quan, QU Wu-jiang   

  1. Vocational & Technical College, Dalian Fisheries University, Dalian 116300, China
  • Received:2010-03-23 Revised:1900-01-01 Online:2010-08-27 Published:2010-08-27

摘要: 教学评价是院校最重要的工作之一,而科学的评教方法又显得尤为重要。本文介绍一种更适合于关系型数据库关联规则挖掘的、基于SQL的频繁项关联规则挖掘算法,并将其应用于教学评价。通过对大量的样本数据进行试验,得出了应用以往传统的教学评价方法所无法得到重要的教学参考信息。

关键词: 关联规则, 教学评价, 频繁项集

Abstract: Teaching evaluation is very important sector for teaching management.It is crucial to find a good method for this work. This paper discusses how to mine data in a way that based on SQL language and making it fit for the relation database better, so it is used in teaching evaluation. Through testing much data, the important teaching reference information is got that cannot get by the old way before.

Key words: association rules, teaching evaluation, frequent itemsets