The Application of Data Mining in the Control of Alumina Quality
For China Aluminum in henan branch is very concerned about the quality control of alumina. Using data mining techniques in the correlation analysis,neural network analysis and linear regression analysis.Analysis the number relationships between indicators which impact aluminum quality . First of all,Through seeking opinions of alumina production operations management,concluded that nine key indicators affecting the quality.Secondly,by SPSS13.0 statistical software and SPSS Clementine software,analysis on the quality of historical data of alumina. Then identified seven key indicators which affect the quality of alumina,at the same time,it found out the quantitative relationship between the seven indicators. Finally,established a control model for alumina quality. Through the user confirmation and user verify,the model would be the basis for quality control of alumina.
alumina quality control2 data mining3 linear regression analysis 4
Fan Jingjun Wu Wenxiang Yin Shuting
College of Economics and Management,North China University of Technology,Beijing 100144,China
国际会议
南宁
英文
53-56
2010-12-10（万方平台首次上网日期，不代表论文的发表时间）