摘要
阐述通过数据挖掘技术进行模型构建与数据预测。岭回归作为回归分析中较为复杂的分析方法,所包含的算法和模型更好地实现了教育辅助系统应具备的条件。基于不等式约束的岭回归分析以及正确认识数据挖掘技术对教育辅助系统的指导,并充分运用数据分析中的原理和方法,使得教育辅助系统更加完善。
This paper expounds the model construction and data prediction by data mining technology.Ridge regression,as a more complex analysis method in regression analysis,contains algorithms and models that better realize the conditions that educational support systems should have.Ridge regression analysis based on inequality constraint and the correct understanding of data mining technology to guide the educational support system and fully use the principles and methods of data analysis,make the educational support system more perfect.
作者
惠新
HUI Xin(School of Mathematics and Statistical Science,Ludong University,Shandong 264011,China)
出处
《电子技术(上海)》
2024年第5期124-126,共3页
Electronic Technology
关键词
数据挖掘
教育辅助
岭回归
回归分析
不等式约束
data mining
educational assistance
ridge regression
regression analysis
inequality onstraints