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

Computational intelligence and neuroscience, 2022, Vol.2022, p.6170335-11 [Peer Reviewed Journal]

Copyright © 2022 Yazhou Sun and Xueqing Tan. ;Copyright © 2022 Yazhou Sun and Xueqing Tan. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 ;Copyright © 2022 Yazhou Sun and Xueqing Tan. 2022 ;ISSN: 1687-5265 ;EISSN: 1687-5273 ;DOI: 10.1155/2022/6170335 ;PMID: 35463233

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  • Title:
    Customer Relationship Management Based on SPRINT Classification Algorithm under Data Mining Technology
  • Author: Sun, Yazhou ; Tan, Xueqing
  • Ni, Tongguang ; Tongguang Ni
  • Subjects: Algorithms ; Artificial intelligence ; Automation ; Classification ; Computer applications ; Customer relations ; Customer relationship management ; Customer satisfaction ; Customer services ; Data Mining ; Decision making ; Decision trees ; Information management ; Intelligence ; Internal customers ; Marketing ; Technology
  • Is Part Of: Computational intelligence and neuroscience, 2022, Vol.2022, p.6170335-11
  • Description: 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.
  • Publisher: United States: Hindawi
  • Language: English
  • Identifier: ISSN: 1687-5265
    EISSN: 1687-5273
    DOI: 10.1155/2022/6170335
    PMID: 35463233
  • Source: ProQuest One Psychology
    Geneva Foundation Free Medical Journals at publisher websites
    MEDLINE
    PubMed Central
    ProQuest Central
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