Partition triples: A tool for reduction of data sets

Journal of Computer and System Sciences

Volumn 53, Issue 3, 1996, Pages 575-582

  Grzymala Busse, Jerzy W ^a   Than, Soe ^a  

^a UNIVERSITY OF KANSAS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGEBRA; ALGORITHMS; AUTOMATA THEORY; COMPUTATIONAL METHODS; DATA STRUCTURES; DECISION TABLES; LEARNING SYSTEMS; SET THEORY;

PARTITION TRIPLES;

DATA REDUCTION;

EID: 0030412781     PISSN: 00220000     EISSN: None     Source Type: Journal    
DOI: 10.1006/jcss.1996.0088     Document Type: Article

References (10)

1. J. W. Grzymala-Busse, On the reduction of instance space in learning from examples, in "Proceedings, 5th International Symposium on Methodologies for Intelligent Systems, Knoxville, TN, October 1990," pp. 388-395, North Holland, New York, 1991.
2. J. W. Grzymala-Busse, LERS - A system for learning from examples based on rough sets, in "Intelligent Decision Support. Handbook of Applications and Advances of the Rough Set Theory" (R. Slowinski, Ed.), pp. 3-18, Kluwer Academic, Dordrecht, 1992.
3. J. W. Grzymala-Busse and S. Than, Reduction of instance space in machine learning from examples, in "Proceedings, 5th International Symposium on Artificial Intelligence, Cancun, Mexico, December 1992," pp. 303-309.
4. J. W. Grzymala-Busse and S. Than, Data compression in machine learning applied to natural language, Behav. Res. Methods Instrum. Comput. 25 (1993), 318-321.
5. J. Hartmanis and R. E. Stearns, "Algebraic Structure Theory of Sequential Machines," Prentice-Hall, Englewood Cliffs, NJ, 1966.
6. D. Kibler and D. W. Aha, Learning representative exemplars of concepts: An initial case study, in "Proceedings, 4th International Workshop on Machine Learning, Irvine, CA, June 1987," pp. 24-30.
7. R. S. Michalski and R. L. Chilausky, Knowledge acquisition by encoding expert rules versus computer induction from examples: A case study involving soybean pathology, Int. J. Man-Mach. Studies 12 (1980), 63-87.
8. Z. Pawlak, Rough sets, Int. J. Comput. Inform. Sci. 11 (1982), 341-356.
9. Z. Pawlak, Rough classification, Int. J. Man-Mach. Studies 20 (1984), 469-483.
10. W. Van de Velde, Learning through progressive refinement, in "Proceedings, EWSL 88, 3rd European Working Session on Learning, Glasgow, United Kingdom, October 1988," pp. 211-216.