Coping with missing attribute values based on closest fit in preterm birth data: A rough set approach

Computational Intelligence

Volumn 17, Issue 3, 2001, Pages 425-434

  Grzymala Busse, J W ^a   Grzymala Busse, W J ^a   Goodwin, L K ^a  

^a UNIVERSITY OF KANSAS   (United States)

Author keywords

Classification of unseen cases; Data mining; Knowledge discovery in databases; Missing attribute values; Preterm birth diagnosis; Rough set theory

Indexed keywords

ALGORITHMS; DATA MINING; DATABASE SYSTEMS; FUZZY SETS; KNOWLEDGE BASED SYSTEMS; VECTORS;

DATA SETS;

ROUGH SET THEORY;

EID: 0035414681     PISSN: 08247935     EISSN: None     Source Type: Journal    
DOI: 10.1111/0824-7935.00155     Document Type: Article

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