Process Control Analysis System Based On Data Warehouse

被引：0

作者：

Zhao Xiangdong ^{[1
]}

Ji Xiao ^{[2
]}

机构：

[1] Tongji Univ, CIMS Res Ctr, Shanghai Baosight Software Co Ltd, Shanghai 200092, Peoples R China

[2] Shanghai Baosight Software Co Ltd, Business Intelligence Dept, Shanghai 201203, Peoples R China

来源：

2009 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, VOL I, PROCEEDINGS | 2009年

关键词：

Data Warehouse; SPC; DWPC; Subject data set; OLAP; SVM; Rough set;

D O I：

10.1109/AICI.2009.141

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Process control analysis system based on data warehouse (DWPCS) is introduced in this paper, which integrates the theory of SPC and DW. It firstly introduces the general framework of DWPCS and then gives an example of building subject data set that contains the relative data of control parameters. Lastly it detailedly explains the process of selecting related variables by statistical analysis methods, prediction control parameters by support vector machine and generating rules set for discrete parameter data by rough set. It is proved that prediction model and rules resulted by DWPCS can meet enterprise's requirement and it can improve efficiency of production.

引用

页码：283 / +

页数：2

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