基于数据挖掘的课程相关性研究与分析  

Research of Curriculum Relevance Based on Data Mining

作　　者：贾文[1] 臧明相[1] 周鸿[1] 

机构地区：[1]西安电子科技大学计算机学院,陕西西安710071

出　　处：《计算机技术与发展》2006年第12期178-180,共3页Computer Technology and Development

摘　　要：关联规则是数据库中某些特定事件同时发生的概率的简单陈述。关联规则挖掘就是利用特定方法发掘数据库中潜藏的关联规则的过程。文中主要运用数据挖掘中的关联规则和AprioriTid算法,以考务数据库为挖掘对象,并在挖掘过程中充分运用数据库技术适时地对挖掘数据进行筛选,有效地提高了挖掘效率。最后,对课程间的相关性进行了分析和研究,得到了有效性的结论。Association rule is a simple statement about the cooccurrence probability of certain specific events in the database. Association rule mining is the process which aims to dig the association rule hiding in the database by specific methods. ApfioriTtid algorithm and association rule in the data mining are addressed . The examination database are employed as the data mining object. The efficiency of data mining are raised by fully used database technique and filtering original data. The relationship among the curriculums are researched ,with conclusion satisfied.

关 键 词：数据挖掘 关联规则 APRIORITID算法 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构] G434[自动化与计算机技术—计算机科学与技术]