In pursuit of patterns in data reasoning from data – the rough set way

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

Volumn 2475, Issue , 2002, Pages 1-9

  Pawlak, Zdzisław ^a  

^a INSTITUTE OF THEORETICAL AND APPLIED INFORMATICS   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; DATA FLOW GRAPHS; GRAPHIC METHODS;

DATA REASONING; ROUGH-SET-BASED DATA ANALYSIS;

ROUGH SET THEORY;

EID: 84942908736     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45813-1_1     Document Type: Conference Paper

References (8)

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2. Pawlak, Z.: Theorize with Data using Rough Sets (to appear)
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4. Polkowski, L., Skowron, A., (eds.).: Rough Set and Current Trends in Computing. Lecture Notes in Artificiale Intelligence 1424, Springer (1998)
5. Polkowski, L., Skowron, A. (eds.).: Rough Sets in Knowledge Discovery. Vol. 1-2, Physica Verlag, Springer (1998)
6. Polkowski, L., Tsumoto, S., Lin, T.Y., (eds.).: Rough Set Methods and applications – New Developments in Knowledge Discovery in Information Systems. Springer (to appear)
7. Skowron, A., Rauszer, C.: The discernibility matrices and functions in information systems, in: Słowiński (ed.), Intelligent Decision Support, – Handbook of Applications and Advances in Rough Set Theory, Kluwer Academic Publishers, Dordrech (1992) 311–362
8. Tsumoto, S., Tanaka, H.: Discovery of Functional Components of Proteins Based on PRIMEROSE and Domain Knowledge Hierarchy. Proceedings of the Workshop on Rough Sets and Soft Computing (RSSC-94), 1994: Lin, T.Y., and Wildberger, A.M. (eds.) Soft Computing, SCS (1995) 280–285