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Erschienen in:
1996 | OriginalPaper | Buchkapitel
On the Uses and Costs of Rule-Based Classification
verfasst von : Karina Gibert
Erschienen in: COMPSTAT
Verlag: Physica-Verlag HD
Enthalten in: Professional Book Archive
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Classification in ill-structured domains is well known as a hard problem for the actual statistical and artificial intelligence techniques. Rule-based clustering is a new approach that combines statistical algorithms with some inductive learning elements in order to overcome the limitations of both Statistics and Artificial Intelligence in managing ill-structured domains. In this paper discussion on the cost of this new methodology is also presented.