Selecting Distinctive Attributes for Concept Learning

Andreas Dengel, Frank Dubiel

In: Proceedings of the First International Conference on Knowledge-Based Intelligent Electronic Systems. International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES-97) May 21-23 Adelaide Australia Seiten 46-53 1 ISBN 0-7803-3755-7 IEEE Computer Society Press 1997.


This paper presents an innovative approach for learning the distinctive attributes of uncertain objects. The proposed system takes instances, clusters them into different concepts and consequently induces a hierarchy which is used for later classification. We introduce the major steps of the approach using a set of city attributes and further illustrate the applicability for a real world problem, namely the learning of structural concepts of business letters.

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence