摘要
高校教学管理信息系统积累了大量的潜在有价值的成绩数据信息。针对数据多,知识少的问题,结合数据挖掘技术中的关联规则算法的特点,利用改进的Apriori算法对计算机学院的学生成绩进行挖掘分析,发现不同学科之间的关联关系,并给老师及管理决策者提供指导。帮助老师及时调整课程内容,对可能出现不及格的部分学生提出警告,督促他们学习,提高教学质量。实验表明,改进后的算法效率明显提高,挖掘的关联规则能够很好的为教学安排及决策管理提供理论支持。
The teaching management information system of colleges has accumulated a large number of potentially valuable data information.For many data,less knowledge,combining the characteristics of association rules algorithm in data mining,we use the improved Apriori-algorithm to analysis the student achievements for school of computing.We find out the correlation between various disciplines through analyzing and use these associations to provide guidance for teachers and management decision makers.These association rules help management decision-makers teachers to adjust the course content,warn students who may fail,urge them to study and improve the quality of teaching.Experiments show that the efficiency of the improved algorithm is improved obviously,and the mining association rules can provide theoretical support for teaching arrangement and decision management.
作者
赵峰
刘博妍
ZHAO Feng;LIU Bo-yan(School of Management Science ＆ Engineering,Anhui University of Technology,Anhui Maanshan 243032, Chin)
出处
《齐齐哈尔大学学报（自然科学版）》
2018年第1期11-15,共5页
Journal of Qiqihar University(Natural Science Edition)
