DocumentCode
352704
Title
A knowledge discovery method and its industrial applications
Author
Hao, Wen
Author_Institution
Shanghai BaoSteel Software Co. Ltd., China
Volume
1
fYear
2000
fDate
2000
Firstpage
369
Abstract
Based on rough set theory, this paper investigates a knowledge discovery method of data sets which have continuous attributes, and the main concepts of partition sets, lower-boundary and upper-boundary are presented. We also give an illustration of this method applied to breakouts prediction system for continuous casting machine. Another major part of this paper is to present a paradigm of knowledge discovery process in the industrial applications
Keywords
data mining; industrial control; manufacturing data processing; rough set theory; breakouts prediction system; continuous casting machine; industrial applications; knowledge discovery method; lower-boundary; partition sets; rough set theory; upper-boundary; Set theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location
Hefei
Print_ISBN
0-7803-5995-X
Type
conf
DOI
10.1109/WCICA.2000.859985
Filename
859985
Link To Document