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Volumn 130, Issue 1-2 SPEC. ISS., 2006, Pages 33-41

Harnessing data mining to explore incident databases

Author keywords

Data mining; Failure rates; Incident databases

Indexed keywords

DATA MINING; DATA REDUCTION; FAILURE (MECHANICAL); FAILURE ANALYSIS; PROBABILISTIC LOGICS; PROBABILITY;

EID: 33644645028     PISSN: 03043894     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhazmat.2005.07.046     Document Type: Conference Paper
Times cited : (30)

References (17)
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    • (2001) Process Saf. Prog. , vol.20 , Issue.4 , pp. 280-285
    • Al-Qurashi, F.1    Sharma, G.2    Rogers, W.J.3    Mannan, M.S.4
  • 2
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    • Accident history database: An opportunity
    • M.S. Mannan, T.M. O'Connor, and H.H. West Accident history database: an opportunity Environ. Prog. 18 1 1999 1 6
    • (1999) Environ. Prog. , vol.18 , Issue.1 , pp. 1-6
    • Mannan, M.S.1    O'Connor, T.M.2    West, H.H.3
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  • 9
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    • (1987) Major Chemical Hazard
    • Marshall, V.C.1
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    • Title 40
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    • The application of active databases to the problems of human error in industry
    • R.E. Iliffe, P.W.H. Chung, T.A. Kletz, and M. Preston The application of active databases to the problems of human error in industry J. Loss Prev. Process Ind. 13 2000 19 26
    • (2000) J. Loss Prev. Process Ind. , vol.13 , pp. 19-26
    • Iliffe, R.E.1    Chung, P.W.H.2    Kletz, T.A.3    Preston, M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.