Title :
CRITIKAL: client-server rule induction technology for industrial knowledge acquisition from large databases
Author_Institution :
Attar Software Ltd., UK
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;
Conference_Titel :
Research Issues in Data Engineering, 1997. Proceedings. Seventh International Workshop on
Conference_Location :
Birmingham
Print_ISBN :
0-8186-7849-6
DOI :
10.1109/RIDE.1997.583703
