@inproceedings{2000550,
author={Johannes Fuernkranz and Peter Flach},
title={An Analysis of Stopping and Filtering Criteria for Rule Learning},
booktitle={Proceedings of the 15th European Conference on Machine Learning},
ISBN={3-540-23105-6},
publisher={Springer-Verlag},
pages={123--133},
month={September},
year={2004},
abstract={In this paper, we investigate the properties of commonly used pre- 
pruning 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. },
abstract-url={http://www.cs.bris.ac.uk/Publications/pub_master.jsp?id=2000550},
url={http://www.cs.bris.ac.uk/Publications/Papers/2000550.pdf},
keyword={Machine Learning},
pubtype={102}
}