Network User Interest Pattern Mining Based on Entropy Clustering Algorithm

Bibliographic Details
Title: Network User Interest Pattern Mining Based on Entropy Clustering Algorithm
Authors: Xu, Changda, Chen, Shuoying, Cheng, Jing
Source: 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2015 International Conference on. :200-204 Sep, 2015
Relation: 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)
Database: IEEE Xplore Digital Library
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  Data: Network User Interest Pattern Mining Based on Entropy Clustering Algorithm
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  Data: <searchLink fieldCode="AR" term="%22Xu%2C+Changda%22">Xu, Changda</searchLink><br /><searchLink fieldCode="AR" term="%22Chen%2C+Shuoying%22">Chen, Shuoying</searchLink><br /><searchLink fieldCode="AR" term="%22Cheng%2C+Jing%22">Cheng, Jing</searchLink>
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  Data: 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2015 International Conference on. :200-204 Sep, 2015
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  Data: 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)
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RecordInfo BibRecord:
  BibEntity:
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      – Type: doi
        Value: 10.1109/CyberC.2015.11
    PhysicalDescription:
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        PageCount: 5
        StartPage: 200
    Titles:
      – TitleFull: Network User Interest Pattern Mining Based on Entropy Clustering Algorithm
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Xu, Changda
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          Name:
            NameFull: Chen, Shuoying
      – PersonEntity:
          Name:
            NameFull: Cheng, Jing
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          Dates:
            – D: 01
              M: 09
              Type: published
              Y: 2015
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              Value: 9781467391993
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            – TitleFull: 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2015 International Conference on
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