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Pattern extraction for high-risk accidents in the construction industry: a data-mining approach.
Amiri, Mehran; Ardeshir, Abdollah; Fazel Zarandi, Mohammad Hossein; Soltanaghaei, Elahe.
Affiliation
  • Amiri M; a Civil and Environmental Engineering Department , Amirkabir University of Technology , Tehran , Iran.
  • Ardeshir A; a Civil and Environmental Engineering Department , Amirkabir University of Technology , Tehran , Iran.
  • Fazel Zarandi MH; b Department of Industrial Engineering and Management Systems , Amirkabir University of Technology , Tehran , Iran.
  • Soltanaghaei E; c Computer Engineering Department , Sharif University of Technology , Tehran , Iran.
Int J Inj Contr Saf Promot ; 23(3): 264-76, 2016 Sep.
Article in En | MEDLINE | ID: mdl-25997167
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Accidents, Occupational / Construction Industry / Data Mining Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Adult / Female / Humans / Male / Middle aged Language: En Journal: Int J Inj Contr Saf Promot Journal subject: TRAUMATOLOGIA Year: 2016 Document type: Article Affiliation country: Iran Country of publication: United kingdom
Fulltext
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Print
XML
PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Accidents, Occupational / Construction Industry / Data Mining Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Adult / Female / Humans / Male / Middle aged Language: En Journal: Int J Inj Contr Saf Promot Journal subject: TRAUMATOLOGIA Year: 2016 Document type: Article Affiliation country: Iran Country of publication: United kingdom