摘要
高校教务管理系统将产生海量数据,这些数据中可能隐藏着一些我们以前不知道的大量有用信息。因此,可采用数据挖掘的关联规则方法来对教务管理系统的学生成绩数据进行挖掘,通过学生成绩是否优秀来找到各对应课程之间的相关性,从而科学地安排教学和指导学生学习。
In higher institutes there are large amount of information, which implicitly contains some useful information, unknown to us previously. Therefore the relevancy rule of data mining to search for the data of student's performance in the educational administration management system, looking for the relevance to the corresponding curriculum by means of whether students' achievements are excellent. This can be used to organize instruction and guide students' learning.
出处
《贵阳学院学报(自然科学版)》
2007年第4期32-35,共4页
Journal of Guiyang University:Natural Sciences
关键词
教务管理
数据挖掘
关联规则
学生成绩
educational administration management
data mining
relevancy rule
student's performance