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Customer Relationship Management Based on SPRINT Classification Algorithm under Data Mining Technology.

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Title: Customer Relationship Management Based on SPRINT Classification Algorithm under Data Mining Technology.
Authors: Sun, Yazhou, Tan, Xueqing
Source: Computational Intelligence & Neuroscience; 4/14/2022, p1-11, 11p
Subject Terms: Customer relationship management, Classification algorithms, Data mining, Database management, Databases
Abstract: Under the advance of computational intelligence, customer relationship management system based on data mining technology can not only bring more economic benefits to an enterprise but also improve the management and decision-making level of Chinese enterprises. In this paper, the application of data mining technology in customer relationship management (CRM) is analyzed, and four data mining modes are realized: customer classification, cross-marketing, customer acquisition, and customer retention. In the data mining module, SPRINT classification algorithm is used in customer classification. At the same time, FP-growth, an association rule algorithm without candidate set, is applied in cross-marketing, which enhances the practicability of the system. The algorithm of optimal customer retention strategy under digital intelligence technology is adopted in customer retention, which makes up for the shortcomings of traditional CRM system and helps enterprises to better operate and adjust marketing strategies. [ABSTRACT FROM AUTHOR]
Copyright of Computational Intelligence & Neuroscience is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Complementary Index
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DbLabel: Complementary Index
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PubType: Academic Journal
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Customer Relationship Management Based on SPRINT Classification Algorithm under Data Mining Technology.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Sun%2C+Yazhou%22">Sun, Yazhou</searchLink><br /><searchLink fieldCode="AR" term="%22Tan%2C+Xueqing%22">Tan, Xueqing</searchLink>
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  Data: Computational Intelligence & Neuroscience; 4/14/2022, p1-11, 11p
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  Data: <searchLink fieldCode="DE" term="%22Customer+relationship+management%22">Customer relationship management</searchLink><br /><searchLink fieldCode="DE" term="%22Classification+algorithms%22">Classification algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Data+mining%22">Data mining</searchLink><br /><searchLink fieldCode="DE" term="%22Database+management%22">Database management</searchLink><br /><searchLink fieldCode="DE" term="%22Databases%22">Databases</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Under the advance of computational intelligence, customer relationship management system based on data mining technology can not only bring more economic benefits to an enterprise but also improve the management and decision-making level of Chinese enterprises. In this paper, the application of data mining technology in customer relationship management (CRM) is analyzed, and four data mining modes are realized: customer classification, cross-marketing, customer acquisition, and customer retention. In the data mining module, SPRINT classification algorithm is used in customer classification. At the same time, FP-growth, an association rule algorithm without candidate set, is applied in cross-marketing, which enhances the practicability of the system. The algorithm of optimal customer retention strategy under digital intelligence technology is adopted in customer retention, which makes up for the shortcomings of traditional CRM system and helps enterprises to better operate and adjust marketing strategies. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Computational Intelligence & Neuroscience is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1155/2022/6170335
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 11
        StartPage: 1
    Subjects:
      – SubjectFull: Customer relationship management
        Type: general
      – SubjectFull: Classification algorithms
        Type: general
      – SubjectFull: Data mining
        Type: general
      – SubjectFull: Database management
        Type: general
      – SubjectFull: Databases
        Type: general
    Titles:
      – TitleFull: Customer Relationship Management Based on SPRINT Classification Algorithm under Data Mining Technology.
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            NameFull: Sun, Yazhou
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            NameFull: Tan, Xueqing
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          Dates:
            – D: 14
              M: 04
              Text: 4/14/2022
              Type: published
              Y: 2022
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            – TitleFull: Computational Intelligence & Neuroscience
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