SCOPUS 정보 검색 플랫폼

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 3066, Issue , 2004, Pages 573-579

Towards missing data imputation: A study of fuzzy K-means clustering method

(4) Li, Dan a Deogun, Jitender a Spaulding, William b Shuart, Bill b

a UNIVERSITY OF NEBRASKA LINCOLN (United States)

b UNIVERSITY OF NEBRASKA LINCOLN (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FUZZY SETS; MATHEMATICAL MODELS; PARAMETER ESTIMATION; REGRESSION ANALYSIS; CLUSTER ANALYSIS; FUZZY CLUSTERING; ROUGH SET THEORY; SOFT COMPUTING;

DATA IMPUTATION; DATA SETS; HOT DECK IMPUTATION; CLUSTERING METHODS; CLUSTERING TECHNIQUES; FUZZY K MEANS CLUSTERING; IMPUTATION ALGORITHM; INCOMPLETE DATA; KNOWLEDGE DISCOVERY IN DATABASE; MISSING DATA IMPUTATIONS;

DATA PROCESSING; CLUSTERING ALGORITHMS;

EID: 9444246450 PISSN: 03029743 EISSN: None Source Type: Conference Proceeding
DOI: 10.1007/978-3-540-25929-9_70 Document Type: Conference Paper

Times cited : (182)

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- Myrtveit, I.¹ Stensrud, E.² Olsson, U.H.³

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.