The Application of Data Mining in the Control of Alumina Quality

机译：数据挖掘在氧化铝质量控制中的应用

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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.

机译：对于中国铝业河南分公司来说，氧化铝的质量控制非常关注。在关联分析，神经网络分析和线性回归分析中使用数据挖掘技术。分析影响铝质量的指标之间的数量关系。首先，通过对氧化铝生产经营管理的意见，得出影响质量的9个关键指标。其次，利用SPSS13.0统计软件和SPSS Clementine软件对氧化铝历史数据的质量进行了分析。然后确定了影响氧化铝质量的七个关键指标，同时找出了七个指标之间的定量关系。最后，建立了氧化铝质量控制模型。通过用户确认和用户验证，该模型将成为氧化铝质量控制的基础。

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《International conference on future computer, control and communication;FCCC 2010》|2010年|p.53-56|共4页
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Fan Jingjun; Wu Wenxiang; Yin Shuting;
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中图分类计算技术、计算机技术;计算技术、计算机技术;
关键词
alumina; quality control2; data mining3; linear regression analysis 4;

机译：氧化铝;质量控制2;数据挖掘3;线性回归分析4;

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The Application of Data Mining in the Control of Alumina Quality

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