Quality Measures for Semi-Automatic Learning of Simple Diagnostic Rule Bases
Martin Atzmueller, Joachim Baumeister, Frank Puppe · 2004
Semi-automatic data mining approaches often yield better results than plain automatic methods, due to the early integration of the user's goals. For example in the medical domain, experts are likely to favor simpler models instead of more complex models. Then, the accuracy of discovered patterns is often not the only criterion to consider. Instead, the simplicity of the discovered knowledge is of prime importance, since this directly relates to the understandability and the interpretability of the learned knowledge.