Beyond Concise and Colorful: Learning Intelligible Rules


A variety of techniques from statistics, signal processing, pattern recognition, machine learning, and neural networks have been proposed to understand data by discovering useful categories. However, research in data mining has not paid attention to the cognitive factors that make learned categories intelligible to human users. We show that one factor that… (More)


1 Figure or Table


Citations per Year

85 Citations

Semantic Scholar estimates that this publication has 85 citations based on the available data.

See our FAQ for additional information.

Cite this paper

@inproceedings{Pazzani1997BeyondCA, title={Beyond Concise and Colorful: Learning Intelligible Rules}, author={Michael J. Pazzani and Subramani Mani and William Rodman Shankle}, booktitle={KDD}, year={1997} }