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FLAIRS
2007

Learning Uncertain Rules with CONDORCKD

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Learning Uncertain Rules with CONDORCKD
CONDORCKD is a system implementing a novel approach to discovering knowledge from data. It addresses the issue of relevance of the learned rules by algebraic means and explicitly supports the subsequent processing by probabilistic reasoning. After briefly summarizing the key ideas underlying CONDORCKD, the purpose of this paper is to present a walk-through and system demonstration.
Jens Fisseler, Gabriele Kern-Isberner, Christoph B
Added 02 Oct 2010
Updated 02 Oct 2010
Type Conference
Year 2007
Where FLAIRS
Authors Jens Fisseler, Gabriele Kern-Isberner, Christoph Beierle
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