Rough set data analysis algorithms for incomplete information systems

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

Volumn 2639, Issue , 2003, Pages 264-268

  Chin, K S ^a   Liang, Jiye ^b   Dang, Chuangyin ^a  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^b SHANXI UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; DATA MINING; FUZZY SETS; GRANULAR COMPUTING; HEURISTIC ALGORITHMS; INFORMATION SYSTEMS; INFORMATION USE; SOFT COMPUTING; ALGORITHMS; DATABASE SYSTEMS; HEURISTIC METHODS; KNOWLEDGE ACQUISITION;

INCOMPLETE INFORMATION SYSTEMS; KNOWLEDGE DISCOVERY IN DATABASE; ROUGH SET DATA ANALYSIS; SOFT COMPUTING TOOLS; SPACE COMPLEXITY; TIME AND SPACE COMPLEXITY; TIME COMPLEXITY; VAGUENESS AND UNCERTAINTY;

ROUGH SET THEORY;

KNOWLEDGE DISCOVERY; REDUCT;

EID: 8344282752     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-39205-x_35     Document Type: Conference Paper

References (5)

1. Pawlak, Z.: Rough Sets: Theoretical Aspects of Reasoning about Data, Kluwer Academic Publishers, Dordrecht (1991)
2. Pawlak, Z., Grzymala-Busse, J.W., Slowiński, R., Ziarko, W.: Rough Sets. Comm. ACM. 38(1995) 89-95
3. Guan, J.W., Bell, D.A.: Rough Computational Methods for Information Systems. Artificial Intelligence. 105(1998) 77-103
4. Kryszkiewicz, M.: Rough Set Approach to Incomplete Information Systems. Information Sciences. 112(1998) 39-49
5. Kryszkiewicz, M.: Rule in Incomplete Information Systems. Information Sciences. 113(1999) 271-292