摘要
回归分析是数据挖掘系统中的重要方法之一,本文主要研究如何利用回归模型来进行数据挖掘建模,介绍回归模型的3种类型,基于最小二乘法的参数估计和方程的显著性校验,并提出模型的优化方案,包括离群点的检验处理,模型形式的改进和回归自变量的选取。最后根据实例分析其在数据挖掘中的应用。
Regression analysis is one of the important methods in the data mining system. This paper mainly researches how to use the regression models for modeling data mining, introduces the regression model followed by 3 types, the parameter estimation based on the least squares, the significant validation and presents three kinds of optimization algorithm that included the test and deal of disperse extremum, model improvement and the selection of independent variable. Finally, it explains the regression analysis in data mining application through real data.
出处
《计算机与现代化》
2010年第1期26-28,共3页
Computer and Modernization
关键词
数据挖掘
回归分析
模型优化
data mining
regression analysis
model optimization
