Preliminary Investigations into Knowledge Discovery for Quick Market Intelligence

William P. Alexander, Piero P. Bonissone, and Lisa F. Rau

This paper reports on the results of applying existing software knowledge discovery methods (in particular, C4.5 and logistic regression) in support of a particular business application. The results, based on feedback from the GE business, indicate that this type of analysis is useful with very little special-purpose software development. We are currently using the results to better understand the tradeoffs between different discovery techniques, where extensions and research effort should best be spent,:and how the results can be transitioned to solve real business problems and improve on existing business processes.


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