Generation of rules from incomplete information systems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1263, Issue , 1997, Pages 156-166

  Kryszkiewicz, Marzena ^a  

^a UNIVERSITY OF WARSAW   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION SYSTEMS; INFORMATION USE;

CERTAIN RULE; INCOMPLETE INFORMATION SYSTEMS; INCOMPLETE SYSTEM; POSSIBLE RULE; SPACE COMPLEXITY;

DATA MINING;

EID: 77958590572     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-63223-9_115     Document Type: Conference Paper

References (10)

1. Kononenko I., Bratko I., Roskar E., Experiments in Automatic Learning of Medical Diagnostic Rules, Technical Report, Jozef Stefan Institute, Ljubljana, Yngoslavia, 1984.
2. Quinlan J.R., Induction of Decision Trees, in Readings in Machine Learning, Shavlik J.W., Dietterich T.G. (ed.), 1990, Morgan Kaufmann Publishers, pp. 57-69.
3. Chmidewski M.R., Grzymala-Busse J.W., Peterson N.W, Than S., The Rule Induction System LERS - A Version for Personal Computers, Foundations of Computing and Decision Sciences, Vol. 18 No. 3-4, 1993, pp. 181-212.
4. Kryszkiewicz M., Rules in Incomplete Information Systems, submitted to blformation Sciences.
5. Kryszkiewicz M., Rules in Incomplete hfformation Systems, submitted to Information SciencesProceedings from the Third Joint Conference on Information Sciences, North Carolina, USA, March 2-5, 1997, to appear.
6. Kryszkiewicz M., Rough Set Approach to Incomplete Information Systems, Proceedings of Second Annual Joint Conference on Information Sciences, Wrightsville Beach, North Carolina, USA, 28 September - 1 October 1995, pp. 194-197.
7. Slowinski R., Stefanowski J.0 Rough-Set Reasoning about Uncertain Data, in Fundamenta Infon,aticae, Vol. 27, No. 2-3, 1996, pp. 229-244.
8. Skoxwon A., Rauszer C., The Discernibility Matrices and Functions in Information Systems, in Intelligent Decision Support: Handbook of Applications and Advances of Rough Sets TheotT, Slowinski R. (ed.), 1992, Kluwer Academic Publisher, pp.331-362.
9. Lipski W.J., On Semantic Issues Connected with Incomplete Information Databases, ACM Transaction on Databases Systems, 4, 1979, pp. 262-296.
10. Nguyen S.H., Nguyen H.S., Some Efficient Algorithms for Rough Set Methods, in Proceedings of Sixth Intl. Conference IPMU '96, July 1-5, Granada, Espana, Vol. 3, 1996, pp. 1451-1456.