摘要
阐述数据挖掘技术在分析信息工程关键课程教学、课程设置顺序中的应用,包括对学生成绩进行采集和预处理,通过关联分析算法找出不同课程间的关系,利用决策树算法的可解释性寻找出众多课程中的关键课程,探讨关键课程对后续课程的影响。
This paper expounds the application of data mining technology in analyzing the teaching and sequence of key courses in information engineering, including collecting and preprocessing student grades, identifying relationships between different courses through association analysis algorithms, and using the interpretability of decision tree algorithms to identify key courses among numerous courses, exploring the impact of key courses on subsequent courses.
作者
许杏
潘莹
蒋俊荣
XU Xing;PAN Ying;JIANG Junrong(Information Network Center of Guangxi University,Guangxi 530004,China;Academic Affairs Office of Guangxi University,Guangxi 530004,China;China Mobile Communications Group Guangxi Co.,Ltd.,Guangxi 530004,China)
出处
《集成电路应用》
2023年第7期274-276,共3页
Application of IC
基金
广西壮族自治区中青年教师基础能力提升项目(KY2016LX004)。
关键词
数据挖掘技术
成绩分析
相关性分析
决策树
关键课程
data mining technology
score analysis
correlation analysis
decision tree
key courses
