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4. J. W. Grzymala-Busse: On the unknown attribute values in learning from exam-
ples. Proc. of the ISMIS-91, 6th International Symposium on Methodologies for
Intelligent Systems, Charlotte, North Carolina, October 16-19, 1991. Lecture
Notes in Artificial Intelligence, vol. 542, Springer, Berlin Heidelberg New York,
1991, 368-377
5. 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 Sets Theory, ed. by R. Slowinski, Kluwer, Dordrecht,
1992, 3-18
6. J. W. Grzymala-Busse. MLEM2: A new algorithm for rule induction from
imperfect data. Proceedings of the 9th International Conference on Informa-
tion Processing and Management of Uncertainty in Knowledge-Based Systems,
IPMU 2002, July 1-5, Annecy, France, 243-250
7. J. W. Grzymala-Busse. Rough set strategies to data with missing attribute
values. Proceedings of the Workshop on Foundations and New Directions in
Data Mining, Associated with the Third IEEE International Conference on Data
Mining, Melbourne, FL, November 19-22, 2003, 56-63
8. J. W. Grzymala-Busse. Characteristic relations for incomplete data: A gener-
alization of the indiscernibility relation. Proceedings of the RSCTC'2004, the
Fourth International Conference on Rough Sets and Current Trends in Comput-
ing, Uppsala, Sweden, June 1-5, 2004. Lecture Notes in Artificial Intelligence
3066, Springer, Berlin Heidelberg New York, 2004, 244-253
9. J. W. Grzymala-Busse. Data with missing attribute values: Generalization of
idiscernibility relation and rule induction. Transactions on Rough Sets , Lecture
Notes in Computer Science Journal Subline, Springer Berlin Heidelberg New
York, vol. 1, 2004, 78-95
10. J. W. Grzymala-Busse. Three approaches to missing attribute values - A rough
set perspective. Proceedings of the Workshop on Foundation of Data Mining, as-
sociated with the 4th IEEE International Conference on Data Mining, Brighton,
UK, November 1-4, 2004, 55-62
11. J. W. Grzymala-Busse and M. Hu. A comparison of several approaches to miss-
ing attribute values in data mining. Proceedings of the 2nd International Con-
ference on Rough Sets and Current Trends in Computing RSCTC'2000, Banff,
Canada, October 16-19, 2000, 340-347
12. J. W. Grzymala-Busse and S. Siddhaye. Rough set approaches to rule induc-
tion from incomplete data. Proceedings of the IPMU'2004, the 10th Interna-
tional Conference on Information Processing and Management of Uncertainty
in Knowledge-Based Systems, Perugia, Italy, July 4-9, 2004, vol. 2, 923-930
13. J. W. Grzymala-Busse and A. Y. Wang: Modified algorithms LEM1 and LEM2
for rule induction from data with missing attribute values. Proceedings of the
5th International Workshop on Rough Sets and Soft Computing (RSSC'97) at
the 3rd Joint Conference on Information Sciences (JCIS'97), Research Triangle
Park, NC, March 2-5, 1997, 69-72
14. M. Kryszkiewicz: Rough set approach to incomplete information systems.
Proceedings of the 2nd Annual Joint Conference on Information Sciences,
Wrightsville Beach, NC, September 28-October 1, 1995, 194-197
15. M. Kryszkiewicz: Rules in incomplete information systems. Information Sci-
ences 113 , 1999, 271-292
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