Data with Missing Attribute Values: Generalization of Indiscernibility Relation and Rule Induction

Author:

Grzymala-Busse Jerzy W.

Publisher

Springer Berlin Heidelberg

Reference18 articles.

1. Chan, C.C., Grzymala-Busse, J.W.: On the attribute redundancy and the learning programs ID3, PRISM, and LEM2. Department of Computer Science, University of Kansas, TR-91-14, p. 20 (December 1991)

2. Grzymala-Busse, J.W.: Knowledge acquisition under uncertainty – A rough set approach. Journal of Intelligent & Robotic Systems 1, 3–16 (1988)

3. Lecture Notes in Computer Science;J.W. Grzymala-Busse,1991

4. Grzymala-Busse, J.W.: LERS – A system for learning from examples based on rough sets. In: Slowinski, R. (ed.) Intelligent Decision Support, Handbook of Applications and Advances of the Rough Sets Theory, pp. 3–18. Kluwer Academic Publishers, Dordrecht (1992)

5. Grzymala-Busse., J.W.: MLEM2: A new algorithm for rule induction from imperfect data. In: Proceedings of the 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2002, Annecy, France, July 1-5, pp. 243–250 (2002)

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