Evaluating Hypothesis-Driven Exception-Rule Discovery with Medical Data Sets

Authors:
Einoshin Suzuki;Shusaku Tsumoto
Affiliations:
-;-
Venue:
PADKK '00 Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications
Year:
2000

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Abstract

This paper presents a validation, with two common medical data sets, of exception-rule discovery based on a hypothesis-driven approach. The analysis confirmed the effectiveness of the approach in discovering valid, novel and surprising knowledge.