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Volumn 19, Issue 1, 2008, Pages 109-118

Imputing manufacturing material in data mining

Author keywords

BPNN; C5.0; Data mining; Imputation; Missing data; Regression

Indexed keywords

DATABASE SYSTEMS; MATHEMATICAL MODELS; REGRESSION ANALYSIS; SOCIETIES AND INSTITUTIONS;

EID: 39549085594     PISSN: 09565515     EISSN: 15728145     Source Type: Journal    
DOI: 10.1007/s10845-007-0067-z     Document Type: Article
Times cited : (5)

References (18)
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    • A review of current software for handing missing data
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    • Kalton, G.1    Kasprzyk, D.2
  • 12
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    • RMINE: A rough set based data mining prototype for the reasoning of incomplete data in condition-based fault diagnosis
    • Li J.R., Khoo L.P., Tor S.B. (2006). RMINE: A rough set based data mining prototype for the reasoning of incomplete data in condition-based fault diagnosis. Journal of Intelligent Manufacturing 17, 163-176
    • (2006) Journal of Intelligent Manufacturing , vol.17 , pp. 163-176
    • Li, J.R.1    Khoo, L.P.2    Tor, S.B.3
  • 16
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    • Alternative paradigms for the analysis of imputed survey data
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.