Analysis of rule sets generated by the CN2, ID3, and multiple convergence symbolic learning methods

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Analysis of rule sets generated by the CN2, ID3, and multiple convergence symbolic learning methods

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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: 48 - 55

Year of Publication: 1995

ISBN:0-89791-737-5

Authors

Elizabeth M. Boll	University of Missouri-Rolla, Engineering Education Center in St. Louis
Daniel C. St. Clair	University of Missouri-Rolla, Engineering Education Center in St. Louis

Sponsor

ACM: Association for Computing Machinery

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 4, Downloads (12 Months): 24, Citation Count: 0

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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	J. R. Quinlan, Simplifying decision trees, International Journal of Man-Machine Studies, v.27 n.3, p.221-234, September 1987 [doi>10.1016/S0020-7373(87)80053-6]
	2	J. R. Quinlan, Induction of Decision Trees, Machine Learning, v.1 n.1, p.81-106 [doi>10.1023/A:1022643204877]
	3	Peter Clark , Tim Niblett, The CN2 Induction Algorithm, Machine Learning, v.3 n.4, p.261-283, March 1989 [doi>10.1023/A:1022641700528]
	4	Murray, K. S., Multiple Convergence An Approach to Disjunctive Concept Acquisition, Proceedings of the International joint Conference of Artificial Intelligence, 1987, pp.297-300.
	5	Roger Gallion , Chaman L. Sabharwal , Daniel C. St. Clair , W. E. Bond, Dynamic ID3: a symbolic learning algorithm for many-valued attribute domains, Proceedings of the 1993 ACM/SIGAPP symposium on Applied computing: states of the art and practice, p.14-20, February 14-16, 1993, Indianapolis, Indiana, United States [doi>10.1145/162754.162766]
	6	Michalski, R. S., Mozetic, I., Hong, J., and Lavrac, N., The Multipurpose Incremental Learning System AQ15 and its Testing Application to Three Medical Domains. Proceedings of the Fifth National Conference on Artificial Intelligence, pp. 1041-1045, Philadelphia, Morgan Kaufman, 1986.
	7	Kalbfleish, J., Probability and Statistical Inference, Vol.2. New York: Springer-Verlag. 1979.
	8	Tom Michael Mitchell, Version spaces: an approach to concept learning., 1979
	9	Fisher, R. A., The Use of Multiple Measurements in Taxonomic Problems. Annals of Eugenics, Vol. 7, 1936, pp. 57-90.
	10	Utgoff, P. t!., 11)5: An Incremental ID3, Proceedings of the Fifth International Conference on Machine Learning, 1988, pp.107-120
	11	Douglas Hayes Fisher, Jr. , Dennis Kibler, Knowledge acquisition via incremental conceptual clustering, 1987
	12	Breiman, L., Freidman, J. H., Olshen, R. A., and Stone, C. J., Classification and Regression Trees, Wadsworth International Corp., 1984.