DocumentCode
3450392
Title
CRITIKAL: client-server rule induction technology for industrial knowledge acquisition from large databases
Author
Al-Attar, Akeel
Author_Institution
Attar Software Ltd., UK
fYear
1997
fDate
7-8 Apr 1997
Firstpage
70
Lastpage
72
Abstract
This paper describes a European Commission funded project to develop and demonstrate an advanced client-server induction system capable of supporting efficient effective data mining of very large databases in business environments. The project combines the induction technology of Attar Software, the HPC application enabling expertise of the Universities of Southampton and Stuttgart, and the user-pull of two very different large database users; GEHE, the German pharmaceutical wholesaler, and Lloyds-TSB the British banking group
Keywords
client-server systems; knowledge acquisition; research initiatives; very large databases; Attar Software; CRITIKAL; GEHE; Lloyds-TSB; client-server induction system; data mining; industrial knowledge acquisition; large databases; Artificial intelligence; Classification tree analysis; Databases; Engines; Entropy; Insurance; Knowledge acquisition; Risk management; Statistics; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Research Issues in Data Engineering, 1997. Proceedings. Seventh International Workshop on
Conference_Location
Birmingham
Print_ISBN
0-8186-7849-6
Type
conf
DOI
10.1109/RIDE.1997.583703
Filename
583703
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