CAJ | 학술논문

随着大数据时代的来临，人们越来越重视数据挖掘技术。数据挖掘技术是从大量数据中挖掘出隐含的、先前未知的、对决策有潜在价值的关系、模式和趋势，并用这些知识和规则建立用于决策支持的模型，提供预测性决策支持的方法、工具和过程。回归分析作为统计学的一个重要分支，也是数据挖掘的重要技术之一。依据MATLAB软件，使用最小二乘算法，研究数据挖掘中的回归分析技术。
수착대수거시대적래림，인문월래월중시수거알굴기술。수거알굴기술시종대량수거중알굴출은함적、선전미지적、대결책유잠재개치적관계、모식화추세，병용저사지식화규칙건립용우결책지지적모형，제공예측성결책지지적방법、공구화과정。회귀분석작위통계학적일개중요분지，야시수거알굴적중요기술지일。의거MATLAB연건，사용최소이승산법，연구수거알굴중적회귀분석기술。
With the coming of the era of big data , people pay more and more attention to the data mining technology .Data mining technology for large amounts of data dig up the relationships , patterns and trends which are implicit , previously unknown , and have potential value for decision -making , with the knowledge and rules is used for the set-up decision support model , providing a predictive decision support methods , tools and processes .Regression analysis as an important branch of statistics is also one of the important technologies of data mining .This article mainly depends on the MATLAB software , using the least squares algorithm , to study the technology of regression analysis in data mining .