Title :
A knowledge discovery method and its industrial applications
Author_Institution :
Shanghai BaoSteel Software Co. Ltd., China
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;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.859985
