Applying data mining techniques to analyze the causes of major occupational accidents in the petrochemical industry

Journal of Loss Prevention in the Process Industries

Volumn 26, Issue 6, 2013, Pages 1269-1278

  Cheng, Ching Wu ^a   Yao, Hong Qing ^a   Wu, Tsung Chih ^b  

^a MING CHI UNIVERSITY OF TECHNOLOGY   (Taiwan)

^b NATIONAL CHANGHUA UNIVERSITY OF EDUCATION   (Taiwan)

Author keywords

Accident rule; Data mining; Occupational accident; Petrochemical industry; Safety management

Indexed keywords

ACCIDENT PREVENTION; ACCIDENTS; DATA MINING; EXPLOSIONS; HUMAN RESOURCE MANAGEMENT; MACHINERY; PERSONNEL TRAINING; PETROCHEMICALS; PIPELINES; QUALITY CONTROL; REPAIR; RISK ASSESSMENT; SAFETY ENGINEERING; SAFETY FACTOR; SAFETY VALVES; SOCIAL ASPECTS; TREES (MATHEMATICS);

ABNORMAL CONDITIONS; DESCRIPTIVE STATISTICS; HIGH-TEMPERATURES; MINING CLASSIFICATION; OCCUPATIONAL ACCIDENT; PETROCHEMICAL INDUSTRY; PROTECTIVE DEVICES; SAFETY MANAGEMENT;

OCCUPATIONAL RISKS;

EID: 84891658224     PISSN: 09504230     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jlp.2013.07.002     Document Type: Article

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