摘要
学生的学习成绩是评估教学质量的重要依据,但影响学生成绩的因素很多。利用数据挖掘的核心技术之一决策树,找出影响学生成绩的潜在因素,并有针对性地采取措施,有利于提高教育教学质量。
Students＇ achievement is the basic index for the evaluation of teaching quality. However, it may be subject to a lot of influencing factors. Implementing Decision Tree, one of the core technologies of Data Mining, this paper aims to explore the potential factors affecting students＇ achievement, taking targeted measures to improve education and teaching quality.
出处
《微型电脑应用》
2017年第9期39-40,67,共3页
Microcomputer Applications
基金
"决策树技术在高职类学生成绩分析中的研究及应用"课题(16B01)
关键词
决策树
成绩分析
解决对策
Decision Tree
Achievement Analysis
Coping Measures
