Resource allocation in ordinal classification problems: A prescriptive framework utilizing machine learning and mathematical programming.

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Title: Resource allocation in ordinal classification problems: A prescriptive framework utilizing machine learning and mathematical programming.
Authors: Rabkin, Lior1, Lior.rabkin@biu.ac.il, Cohen, Ilan1, Ilan-reuven.cohen@biu.ac.il, Singer, Gonen1, Gonen.Singer@biu.ac.il
Source: Engineering Applications of Artificial Intelligence; Jun2024, Vol. 132, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 177088657
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Resource allocation in ordinal classification problems: A prescriptive framework utilizing machine learning and mathematical programming.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=177088657
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.engappai.2024.107914
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – TitleFull: Resource allocation in ordinal classification problems: A prescriptive framework utilizing machine learning and mathematical programming.
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            NameFull: Rabkin, Lior
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            NameFull: Cohen, Ilan
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            NameFull: Singer, Gonen
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            – D: 01
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              Text: Jun2024
              Type: published
              Y: 2024
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              Value: 132
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            – TitleFull: Engineering Applications of Artificial Intelligence
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