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Proceedings Paper

Automated rule induction with grouping target concepts
Author(s): Shusaku Tsumoto
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Paper Abstract

This paper presents a new approach to extract hierarchical decision rules, which consists of the following three procedures. First, the characterization set of each given target concept is extracted from databases and the concept hierarchy for given classes is calculated. Second, based on the hierarchy, rules for each hierarchical level are induced from data. Then, for each given class, rules for all the hierarchical levels are integrated into one rule. The proposed method was evaluated on a medical database, the experimental results of which show that induced rules correctly represent experts' decision processes.

Paper Details

Date Published: 21 March 2003
PDF: 12 pages
Proc. SPIE 5098, Data Mining and Knowledge Discovery: Theory, Tools, and Technology V, (21 March 2003); doi: 10.1117/12.487698
Show Author Affiliations
Shusaku Tsumoto, Shimane Medical Univ. (Japan)


Published in SPIE Proceedings Vol. 5098:
Data Mining and Knowledge Discovery: Theory, Tools, and Technology V
Belur V. Dasarathy, Editor(s)

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