Inproceedings,

Data Mining for Robust Business Intelligence Solutions.

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PKDD, volume 1704 of Lecture Notes in Computer Science, page 580-581. Springer, (1999)

Abstract

We discuss implementation of very large multi-purpose Business Intelligence systems. We focus on system architecture and integration, data modelling and productionalisation of data mining. The ideas presented come mostly from the author’s experience with implementations of large Business Intelligence projects at the Bank of Montreal. Some of these projects have won major international awards and recognition for unique, integrated, well performing and highly scalable solutions.

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