Explaining and predicting workplace accidents using data-mining techniques

Reliability Engineering and System Safety

Volumn 96, Issue 7, 2011, Pages 739-747

  Rivas, T ^a   Paz, M ^a   Martin J E ^b   Matias J M ^a   Garcia J F ^b   Taboada, J ^a  

^a UNIVERSITY OF VIGO   (Spain)

^b CIPP International   (Spain)

Author keywords

Bayesian networks; Classification trees; Data mining; Mine and construction safety; Support vector machines; Workplace accidents

Indexed keywords

CAUSE-EFFECT RELATIONSHIPS; CLASSIFICATION TREES; CONSTRUCT MODELS; CONSTRUCTION SECTORS; DECISION RULES; DESCRIPTIVE STATISTICS; INCIDENT DATA; LOGISTIC REGRESSIONS; MINING TECHNIQUES; PREDICTIVE MODELS; STATISTICAL TECHNIQUES; WORKPLACE ACCIDENTS;

ACCIDENTS; CLASSIFICATION (OF INFORMATION); CONSTRUCTION INDUSTRY; DATA MINING; DISTRIBUTED PARAMETER NETWORKS; FORECASTING; INFERENCE ENGINES; INTELLIGENT NETWORKS; OCCUPATIONAL RISKS; SUPPORT VECTOR MACHINES; TREES (MATHEMATICS);

BAYESIAN NETWORKS;

EID: 79955523239     PISSN: 09518320     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ress.2011.03.006     Document Type: Article

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