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基于数据平衡与集成学习的颠覆性技术 识别模型优化研究.

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Title: 基于数据平衡与集成学习的颠覆性技术 识别模型优化研究.
Alternate Title: Optimization of Subversive Technology Identification Model Based on Data Balancing and Integrated Learning.
Authors: 陈媛媛1, 胡少皇2, 陈小红1
Source: Journal of Library & Information Science in Agriculture. 2026, Vol. 38 Issue 6, p86-97. 12p.
Database: Academic Search Ultimate
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  Data: 基于数据平衡与集成学习的颠覆性技术 识别模型优化研究.
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  Data: Optimization of Subversive Technology Identification Model Based on Data Balancing and Integrated Learning.
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  Data: <searchLink fieldCode="AR" term="%22陈媛媛%22">陈媛媛</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22胡少皇%22">胡少皇</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22陈小红%22">陈小红</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Library+%26+Information+Science+in+Agriculture%22">Journal of Library & Information Science in Agriculture</searchLink>. 2026, Vol. 38 Issue 6, p86-97. 12p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=195090252
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      – Type: doi
        Value: 10.13998/j.cnki.issn1002-1248.25-0536
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      – Code: chi
        Text: Chinese
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        PageCount: 12
        StartPage: 86
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      – TitleFull: 基于数据平衡与集成学习的颠覆性技术 识别模型优化研究.
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            NameFull: 陈媛媛
      – PersonEntity:
          Name:
            NameFull: 胡少皇
      – PersonEntity:
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            NameFull: 陈小红
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            – D: 01
              M: 06
              Text: 2026
              Type: published
              Y: 2026
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              Value: 38
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              Value: 6
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            – TitleFull: Journal of Library & Information Science in Agriculture
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