摘要
主要研究了基于知识发现的教学评价系统的开发过程,介绍了系统开发工具及关联规则挖掘等主要功能子模块的设计和实现。论文应用关联规则Apriori算法,对教学评价数据样本进行数据分析,使用数据库中用户交互数据记录,利用最小支持度和最小置信度,挖掘出频繁项集,从分析的结果中发现有价值的数据模式,寻找其中存在的关系和规则,为教育教学活动发挥指导作用,为教学管理提供合理、科学的决策支持,并且提出了对系统进一步的改进建议。
This paper discusses the development of teaching appraisal System, base on KDD. It introduces the development tools of system and the function of modules. This paper use association rules of Apriori Algorithm and analyze teaching appraisal information. User＇s information to access the system is recorded in the database. The analysis of this kind of information under the rain-sup and min-conf is useful for administrators. It finds out valuable data and existent relations and rules, and then improves the teaching and provides reasonable and scientific guidance for the policymaking of education. At last it advances some advice about the improvement of this system.
出处
《计算机技术与发展》
2009年第9期215-217,共3页
Computer Technology and Development
基金
安徽省自然科学研究项目(KJ2007A124ZC)
安徽省安庆市重点科技项目(20081208)
