Learning first-order rules: A rough set approach

Fundamenta Informaticae

Volumn 61, Issue 2, 2004, Pages 139-157

  Stepaniuk, Jarosław ^a   Hońko, Piotr ^a  

^a BIALYSTOK UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; COMPUTATIONAL COMPLEXITY; DATA MINING; DATABASE SYSTEMS; LOGIC PROGRAMMING; PROCESS CONTROL;

LEARNING APPROXIMATIONS; RELATIONAL LEARNING; ROUGH SETS;

INFORMATION THEORY;

EID: 3142724942     PISSN: 01692968     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper

References (17)

1. Dzeroski, S., Lavrac, N. (Eds.): Relational Data Mining, Springer-Verlag, Berlin, 2001.
2. Document Understanding Database: ftp://ftp.mlnet.org/ml-archive/ generaydata/doc-understanding/.
3. Esposito, F., Malerba, D., Semerano, G., Pazzani, M.: A Machine Learning Approach To Document Understanding, R. S. Michalski, G. Tecuci, (Eds.), Proceedings of the Second International Workshop on Multistrategy Learning, 1993, pp. 276-292.
4. Liu, C., Zhong, N.: Rough Problem Settings for ILP Dealing with Imperfect Data, Computational Intelligence, 17(3), 2001, pp. 446-459.
5. Midelfart, H., Komorowski, J.: A Rough Set Approach to Inductive Logic Programming, W. Ziarko, Y. Yao, (Eds.), Proceedings of the 2nd International Conference on Rough Sets and Current Trends in Computing (RSCTC-2000), 2000, pp. 158-166.
6. Mitchell, T.: Machine Learning, McGraw Hill, 1997.
7. Pal, S.K., Skowron A. (Eds.): Rough Fuzzy Hybridization: A New Trend in Decision-Making, Springer-Verlag, Singapore, 1999.
8. Pawlak, Z.: Rough Sets. Theoretical Aspects of Reasoning about Data, Kluwer Academic Publishers, Dordrecht, 1991.
9. Polkowski, L., Skowron, A. (Eds.): Rough Sets in Knowledge Discovery 1 and 2. Physica-Verlag, Heidelberg, 1998.
10. Siromoney, A., Inoue, K.: The generic Rough Set Inductive Logic Programming (gRS-ILP) model. T.Y. Lin, Y.Y. Yao, L.A. Zadeh (Eds.), Data Mining, Rough Sets and Granular Computing, Studies and Fuzzmess and Soft Computing vol 95, Physica-Verlag, 2002, pp. 499-517.
11. Skowron, A., Stepaniuk, J.: Tolerance Approximation Spaces, Fundamenta Informaticae, 27, 1996, pp. 245-253.
12. Stepaniuk, J.: Knowledge Discovery by Application of Rough Set Models, L. Polkowski, S. Tsumoto, T.Y. Lin, (Eds.) Rough Set Methods and Applications. New Developments in Knowledge Discovery in Information Systems, Physica-Verlag, Heidelberg, 2000, pp. 137-233.
13. Stepaniuk, J., Góralczuk, L.: An Algorithm Generating First Order Rules Based on Rough Set Methods, (ed.) J. Stepaniuk, Zeszyty Naukowe Politechniki Białostockiej Informatyka nr 1, 2002, pp. 235-250. [in Polish]
14. Stepaniuk, J., Maj, M.: Data Transformation and Rough Sets, Lecture Notes in Computer Science 1510, Springer-Verlag, 1998, pp. 441-449.
15. System FOIL: http://www.cse.unsw.edu.au/~quinlan/.
16. System LINUS: http://www.gmd.de/ml-archive/ILP/public/software/linus.
17. System PROGOL: http://www-users.cs.york.ac.uk/~stephen/progol.html.