DocumentCode :
3636939
Title :
Web shop user error detection based on rule based expert system
Author :
M. Špundak;N. Bogunović;K. Fertalj
Author_Institution :
Vipnet usluge d.o.o., Vrtni put 1, 10000 Zagreb, Croatia
fYear :
2010
Firstpage :
603
Lastpage :
608
Abstract :
Rule based systems (RBS) have been recognized as probably the best solution for knowledge based expert systems. This article tries to provide the overview of the architecture and basic characteristics of the RBS, focusing on both their weaknesses and strengths. Based on a theory, rule based expert system for web shop error detection has been proposed. The RBS builds on the available application knowledge base and focuses on a problem of detecting the possible error in the shortest possible timeframe. The formalization of the whole process has a potential to significantly reduce the time required to detect the possible error.
Keywords :
"Expert systems","Knowledge based systems","Control systems","Engines","Fires","Computer architecture","Decision making","Pattern matching","User interfaces","Computer languages"
Publisher :
ieee
Conference_Titel :
MIPRO, 2010 Proceedings of the 33rd International Convention
Print_ISBN :
978-1-4244-7763-0
Type :
conf
Filename :
5533470
Link To Document :
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