Apriori算法在高校教学评价系统中的应用研究  

Applied Research of Apriori Algorithm in Teaching Evaluation System for High Education

作　　者：崔园[1] 

机构地区：[1]成都医学院人文信息管理学院计算机教研室,四川成都610083

出　　处：《数字技术与应用》2017年第8期124-125,共2页Digital Technology & Application

基　　金：四川省高校计算机基础教育研究会教育教学改革研究课题(编号:201525);四川省教育厅项目(编号:14ZB0241)资助

摘　　要：教学评价系统是高校教学质量监控体系的重要环节,本文主要阐述了数据挖掘的关联规则中Apriori算法,并用它对教学评价结果做进一步分析,尝试从中挖掘出潜在的有价值的信息。这些信息可作为教学管理部门进一步决策的参考依据,以便有效提升教育教学质量,加快实现教育现代化。The teaching evaluation system is one of important parts in the teaching quality monitoring system for high eduacation. This paper mainly elaborates association roles based Apriori algorithm used for data mining, and uses it to further analyze the teaching evaluation results and try to dig out the potentially valuable information. Such information can be used as a reference for further decision-making for teaching management, as will effectively improve the quality of education and teaching and speed up the modernization of education.

关 键 词：APRIORI 评价系统 数据挖掘 

分 类 号：G642[文化科学—高等教育学]