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Volumn , Issue , 2010, Pages 628-635

Fuzzy K- means cluster validation for institutional quality assessment

Author keywords

Cluster; Data Mining; decision tree; Educational institution

Indexed keywords

ADAPTIVE TECHNIQUE; BEST FIT; CLUSTER; CLUSTER ALGORITHMS; CLUSTER FORMATIONS; CLUSTER VALIDATION; CLUSTER VALIDITY; DATA CLUSTERS; DATA MINING TECHNOLOGY; DATA SETS; DECISION TREE MODELS; EDUCATIONAL INSTITUTION; EDUCATIONAL INSTITUTIONS; FUZZY K-MEANS; FUZZY K-MEANS ALGORITHM; IMPLICIT KNOWLEDGE; INPUT PARAMETER; MANAGERIAL DECISION; QUALITY ASSESSMENT; QUALITY METRICS; STUDENT PERFORMANCE; SUB-SAMPLING; SYSTEM GROWTH; VALIDATION CRITERIA; VALIDITY INDEX;

EID: 79954568543     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.