Feature selection based on confirmation-theoretic rough sets

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

Volumn 8536 LNAI, Issue , 2014, Pages 181-188

  Zhou, Bing ^a   Yao, Yiyu ^b  

^a SAM HOUSTON STATE UNIVERSITY   (United States)

^b UNIVERSITY OF REGINA   (Canada)

Author keywords

attribute reduction; confirmation theoretic rough set; feature selection; probabilistic rough set

Indexed keywords

ARTIFICIAL INTELLIGENCE; FEATURE EXTRACTION; SOFT COMPUTING; COMPUTATION THEORY; DATA MINING; GROUP THEORY; LEARNING SYSTEMS; SET THEORY;

ATTRIBUTE REDUCTION; ATTRIBUTE REDUCTION METHOD; BAYESIAN CONFIRMATION MEASURES; DATA PREPROCESSING; POSITIVE FEATURES; ROUGH SET MODELS; SELECTION PROCEDURES;

ROUGH SET THEORY;

EID: 84903763506     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-08644-6_19     Document Type: Conference Paper

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