DocumentCode :
424964
Title :
Autonomous creation of process cause and effect relationships: metrics for evaluation of the goodness of linguistic rules
Author :
Sharma, Nitin ; Rhinehart, R. Russell
Volume :
5
fYear :
2004
fDate :
June 30 2004-July 2 2004
Firstpage :
4511
Abstract :
Autonomous knowledge discovery requires metrics of rule base quality. This work recommends metrics useful for selecting good cause-and-effect rules from naturally occurring dynamic data such as found in historian databases in the chemical process industry.
Keywords :
cause-effect analysis; chemical industry; data mining; process control; production management; autonomous knowledge discovery; cause-and-effect rule; chemical process industry; linguistic rule; process management decision control; rule base quality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2004. Proceedings of the 2004
Conference_Location :
Boston, MA, USA
ISSN :
0743-1619
Print_ISBN :
0-7803-8335-4
Type :
conf
Filename :
1384021
Link To Document :
بازگشت