Databases Reference
In-Depth Information
10. Z. Pawlak,
Rough Sets - Theoretical Aspects Reasoning About Data
.Kluwer,
Dordecht, 1991
11. A. Skowron,
Data Filtration: A Rough Set Approach
. Proceedings de Rough
Sets, Fuzzy Sets and Knowledge Discovery. 1993, pp. 108-118
12. A. Wasilewska, E.M. Ruiz, M.C. Fernandez-Baizan.
Modelization of Rough Set
Functions in the KDD Frame
. First International Conference on Rough Sets
and Current Trends in Computing (RSCTC'98), Warsaw, Poland, June 22-26
1998
13. A. Wasilewska, E. Menasalvas.
Data Preprocessing and Data Mining as Gen-
eralization Process
. Proceedings of ICDM'04, the Fourth IEEE International
Conference on Data Mining, Brighton, UK, November 1-4, 2004, pp. 25-29
14. A. Wasilewska, E. Menasalvas.
Data Mining Operators
. Proceedings of
ICDM'04, the Fourth IEEE International Conference on Data Mining, Brighton,
UK, November 1-4, 2004, pp. 43-52
15. A. Wasilewska, E. Menasalvas, C. Scharff.
Uniform Model for Data Mining
.
Proceedings of FDM05 (Foundations of Data Mining), in ICDM2005, Fifth IEEE
International Conference on Data Mining, Austin, Texas, November 27-29, 2005,
pp. 19-27
16. A. Wasilewska, E.M. Ruiz.
Data Mining as Generalization: A Formal Model
.
Foundation and Advances in Data Mining, T.Y. Lin, W. Chu, editors. Springer
Lecture Notes in Artificial Intelligence, 2005
17. W. Ziarko, X. Fei.
VPRSM Approach to WEB Searching
. Proceedings of Third
International RSCTC'02 Conference, Malvern, PA, October 2002, pp. 514-522.
Springer Lecture Notes in Artificial Intelligence
18. W. Ziarko.
Variable Precision Rough Set Model
. Journal of Computer and Systen
Sciences, 46(1):39-59, 1993
19. J.T. Yao, Y.Y. Yao.
Induction of Classification Rules by Granular Computing
.
Proceedings of Third International RSCTC'02 Conference, Malvern, PA, Octo-
ber 2002, pp. 331-338. Springer Lecture Notes in Artificial Intelligence