Rough set methods in approximation of hierarchical concepts

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 3066, Issue , 2004, Pages 346-355

  Bazan, Jan G ^a   Nguyen, Sinh Hoa ^b   Nguyen, Hung Son ^c   Skowron, Andrzej ^c  

^a UNIVERSITY OF RZESZÓW   (Poland)

^b POLISH JAPANESE INSTITUTE OF INFORMATION TECHNOLOGY   (Poland)

^c UNIVERSITY OF WARSAW   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; DATA MINING; DATA REDUCTION; HIERARCHICAL SYSTEMS; INFORMATION ANALYSIS; KNOWLEDGE BASED SYSTEMS; LEARNING SYSTEMS; PATTERN RECOGNITION; APPROXIMATION ALGORITHMS;

CONCEPT APPROXIMATION; DATASETS; DOMAIN KNOWLEDGE; LEARNING APPROXIMATIONS; ARTIFICIAL DATA; LEARNING METHODS;

ROUGH SET THEORY;

EID: 9444221427     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-25929-9_41     Document Type: Conference Paper

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