Concept formation in numeric domains

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Concept formation in numeric domains

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ACM Annual Computer Science Conference archive
Proceedings of the 1995 ACM 23rd annual conference on Computer science table of contents

Nashville, Tennessee, United States

Pages: 36 - 41

Year of Publication: 1995

ISBN:0-89791-737-5

Authors

Jungsoon Yoo	Department of Computer Science, Middle Tennessee State University, Murfreesboro, TN
Sung Yoo

Sponsor

ACM: Association for Computing Machinery

Publisher

ACM New York, NY, USA

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	U. Fayyad, N. Weir, and S.G. Djorgovski (1993). "'SKICAT: a machine learning system for automated cataloging of large scale sky surveys." Proc. of Tenth Int. Conf. on Machine Learn'lng, Morgan Kaufman.
	2	Douglas H. Fisher, Knowledge Acquisition Via Incremental Conceptual Clustering, Machine Learning, v.2 n.2, p.139-172, September 1987 [doi>10.1023/A:1022852608280]
	3	J. H. Gennari , P. Langley , D. Fisher, Models of incremental concept formation, Artificial Intelligence, v.40 n.1-3, p.11-61, Sep. 1989 [doi>10.1016/0004-3702(89)90046-5]
	4	Gluck, M., and Corter, J. (1985). Information, uncertainty, and the utility of categories. Proceedings of the Seventh Annual Conference of the Cognitive Science Society (pp. 283-287). Irvine, CA: Lawrence Erlbaum.
	5	McKusick, K. and Thompson K. (1990). Con- WEB/3: A Portable Implementation, Technical Report. FIA-90-6-18-2, NASA Ames Research Center.
	6	McKusick, K. and Langley, P. (1991) "Constraints on Tree Structure in Concept Formation" In Proceedings of the 12th International Joint Conference on Artificial Intelligence, (pp. 810-816), Sydney, Australia.