Track:
Real-World Applications
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Abstract:
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.