Paper
21 March 2003 Automated rule induction with grouping target concepts
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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.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shusaku Tsumoto "Automated rule induction with grouping target concepts", Proc. SPIE 5098, Data Mining and Knowledge Discovery: Theory, Tools, and Technology V, (21 March 2003); https://doi.org/10.1117/12.487698
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KEYWORDS
Databases

Lab on a chip

Spine

Chemical vapor deposition

Detection and tracking algorithms

Data mining

Diagnostics

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