Supervised learning: A generalized rough set approach

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

Volumn 2005, Issue , 2001, Pages 322-329

  Han, Jianchao ^a   Hu, Xiaohua ^b   Cercone, Nick ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

^b Knowledge Stream Partners   (United States)

Author keywords

Classification; Rough set theory; Rule induction; Supervised learning

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); COMPUTATION THEORY; DATA MINING; LEARNING SYSTEMS; SUPERVISED LEARNING;

CENTRAL PROBLEMS; CLASSIFICATION RULES; DATA CLASSIFICATION; GENERALIZED ROUGH SET; RULE INDUCTION; TRAINING EXAMPLE; UNCERTAINTY FACTORS; VARIABLE PRECISION ROUGH SETS MODEL;

ROUGH SET THEORY;

EID: 84957811670     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45554-X_39     Document Type: Conference Paper

References (8)

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