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Web Shop User Error Detection Based on Rule Based Expert System (CROSBI ID 563823)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Špundak, Mario ; Bogunović, Nikola ; Fertalj, Krešimir Web Shop User Error Detection Based on Rule Based Expert System // MIPRO / Bogunović, Nikola ; Ribarić, Slobodan (ur.). 2010. str. 37-42

Podaci o odgovornosti

Špundak, Mario ; Bogunović, Nikola ; Fertalj, Krešimir

engleski

Web Shop User Error Detection Based on Rule Based Expert System

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.

Rule based systems; user error detection; web shop

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Podaci o prilogu

37-42.

2010.

objavljeno

Podaci o matičnoj publikaciji

Proceedings of the Joint Conferences Computers in Technical systems and Intelligent systems

Bogunović, Nikola ; Ribarić, Slobodan

Rijeka: Denona

978-953-233-053-3

1847-3938

Podaci o skupu

MIPRO 2010

predavanje

24.05.2010-28.05.2010

Opatija, Hrvatska

Povezanost rada

Računarstvo