DocumentCode
2844496
Title
Intelligent Quality Management Using Knowledge Discovery in Databases
Author
Wang, Xiaoh
Author_Institution
Key Lab. of Numerical Control of Jiangxi Province, Jiujiang Univ., Jiujiang, China
fYear
2009
fDate
11-13 Dec. 2009
Firstpage
1
Lastpage
4
Abstract
The application of data mining and knowledge discovery technologies in total quality management (TQM) expert system will certainly become one of the focuses of the quality engineering research field. This paper proposes an intelligent TQM expert system with knowledge discovery in databases. The intelligent quality management system is equipped with the "data mining" feature to provide quality knowledge with the ability to understand the relationships between the enterprise management processes. The realization scheme of knowledge discovery model in large-scale quality database is also given. The proposed system can solve the "knowledge bottleneck problem" in conventional quality system and improve the cooperative ability for monitoring the process effective, efficient and adaptable.
Keywords
data mining; expert systems; data mining; intelligent quality management system; knowledge bottleneck problem; knowledge discovery; large-scale quality database; total quality management expert system; Data engineering; Data mining; Deductive databases; Expert systems; Intelligent systems; Knowledge engineering; Knowledge management; Quality management; Spatial databases; Total quality management;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4507-3
Electronic_ISBN
978-1-4244-4507-3
Type
conf
DOI
10.1109/CISE.2009.5364999
Filename
5364999
Link To Document