Using data science to predict firemen interventions: a case study.

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Title: Using data science to predict firemen interventions: a case study.
Authors: Guyeux, Christophe1, Bou Tayeh, Gaby1, Makhoul, Abdallah1, Abdallah.Makhoul@univ-fcomte.fr, Chrétien, Stéphane2, Bourgeois, Julien1, Bahi, Jacques M.1
Source: Journal of Supercomputing; May2023, Vol. 79 Issue 7, p7160-7175, 16p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
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AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Using data science to predict firemen interventions: a case study.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Supercomputing%22">Journal of Supercomputing</searchLink>; May2023, Vol. 79 Issue 7, p7160-7175, 16p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=162683302
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s11227-022-04956-9
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      – Code: eng
        Text: English
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        PageCount: 16
        StartPage: 7160
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      – TitleFull: Using data science to predict firemen interventions: a case study.
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            NameFull: Guyeux, Christophe
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            NameFull: Bou Tayeh, Gaby
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            NameFull: Makhoul, Abdallah
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            NameFull: Chrétien, Stéphane
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            NameFull: Bourgeois, Julien
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            NameFull: Bahi, Jacques M.
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            – D: 01
              M: 05
              Text: May2023
              Type: published
              Y: 2023
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              Value: 09208542
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              Value: 79
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              Value: 7
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