Rough sets as a knowledge discovery and classification tool for the diagnosis of students with learning disabilities

International Journal of Computational Intelligence Systems

Volumn 4, Issue 1, 2011, Pages 29-43

  Wu, Tung Kuang ^a   Huang, Shian Chang ^a   Meng, Ying Ru ^b   Liang, Wen Yau ^a   Lin, Yu Chi ^a  

^a NATIONAL CHANGHUA UNIVERSITY OF EDUCATION   (Taiwan)

^b NATIONAL TSING HUA UNIVERSITY   (Taiwan)

Author keywords

Knowledge Discovery; LD Diagnosis; Learning Disabilities; Rough Set

Indexed keywords

CLUSTERING ALGORITHMS; COMPUTER AIDED DIAGNOSIS; DATA MINING; DECISION TREES; DEEP NEURAL NETWORKS; EDUCATION; NEURAL NETWORKS; TEACHING;

ARTIFICIAL INTELLIGENCE TECHNIQUES; CLASSIFICATION TOOL; DIAGNOSIS PROBLEM; DIAGNOSIS PROCEDURE; LEARNING DISABILITIES; PREDICTION ACCURACY; ROUGH SET THEORY (RST); RULE BASED ALGORITHMS;

ROUGH SET THEORY;

EID: 78851472136     PISSN: 18756891     EISSN: 18756883     Source Type: Journal    
DOI: 10.1080/18756891.2011.9727761     Document Type: Article

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