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ECML
2004
Springer

An Analysis of Stopping and Filtering Criteria for Rule Learning

14 years 5 months ago
An Analysis of Stopping and Filtering Criteria for Rule Learning
Abstract. In this paper, we investigate the properties of commonly used prepruning heuristics for rule learning by visualizing them in PN-space. PN-space is a variant of ROC-space, which is particularly suited for visualizing the behavior of rule learning and its heuristics. On the one hand, we think that our results lead to a better understanding of the effects of stopping and filtering criteria, and hence to a better understanding of rule learning algorithms in general. On the other hand, we uncover a few shortcomings of commonly used heuristics, thereby hopefully motivating additional work in this area.
Johannes Fürnkranz, Peter A. Flach
Added 01 Jul 2010
Updated 01 Jul 2010
Type Conference
Year 2004
Where ECML
Authors Johannes Fürnkranz, Peter A. Flach
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