Proceedings

Concept Formation by Incremental Conceptual Clustering

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Proceedings of the Eleventh International Joint Conference on Artificial Intelligence. Machine Learning. Pages 831-835.

Abstract

Incremental conceptual clustering is an important area of machine learning. It is concerned with summarizing data in a form of concept hierarchies, which will eventually ease the problem of knowledge acqulSttlon for knowledge-based systems. In this paper we have described INC, a program that generates a hierarchy of concept descriptions incrementally. INC searches a space of classification hierarchies in both top-down and bottom-up fashion. The system was evaluated along four dimensions and tested in two domains: universities and countries.

Mirsad Hadzikadic, and David Y. Y. Yun. 1989. Concept Formation by Incremental Conceptual Clustering. In Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, IJCAI-89. IJCAI, 831–835. https://ijcai.org/proceedings/1989/133
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