Application of data mining to minimize fire-induced domino effect risks.

Ding, Long; Khan, Faisal; Ji, Jie

Ding, Long; Khan, Faisal; Ji, Jie.

Afiliação

Ding L; State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei, Anhui, China.
Khan F; Jiangsu Key Laboratory of Hazardous Chemicals Safety and Control, Nanjing Tech University, Nanjing, Jiangsu, China.
Ji J; Centre for Risk, Integrity and Safety Engineering (C-RISE), Faculty of Engineering & Applied Science, Memorial University of Newfoundland, St. John's, Newfoundland and Labrador, Canada.

Risk Anal ; 43(3): 571-589, 2023 Mar.

Article em En | MEDLINE | ID: mdl-35445761

Palavras-chave

data mining; domino effects; inherent safety; loss of containment; risk minimization

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Risk Anal Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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