1996 | OriginalPaper | Chapter
On the Uses and Costs of Rule-Based Classification
Author : Karina Gibert
Published in: COMPSTAT
Publisher: Physica-Verlag HD
Included 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.