E-Commerce Marketing and Enterprise Performance Based on Cloud Service Platform

• Zhihao Gao ^[2] ; Yuchen Zhao ^[3] ; Cheng Kong ^[1]
  1. [1] University of Technology Malaysia

     University of Technology Malaysia

     Malasia

     
  2. [2] Claro M. Recto Academy of Advanced Studies, Lyceum of the Philippines University Muralla Cor. Real Sts., Intramuros 1002 Manila, Philippines
  3. [3] School of Management Engineering,Qingdao, China Qingdao University of Technology,

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• Localización: RISTI: Revista Ibérica de Sistemas e Tecnologias de Informação, ISSN-e 1646-9895, Nº. Extra 62, 2023, págs. 440-449
• Idioma: inglés
• Enlaces
  • Texto completo (pdf)
• Resumen

  • In the big data background of society, a lot of problems and research have involved a lot of data and information, so our manual processing analysis is quite cumbersome. Especially in the context of big data, the research on e-commerce marketing and enterprise performance is very complicated and complicated. We can calculate and analyze the e-commerce marketing and enterprise performance of the cloud service platform only through the calculation and analysis of the association rules data mining algorithm. Association rules algorithm can be used to find and analyze the data link, and help us solve the problem. And we also have proved the superiority of the algorithm by testing our algorithm.

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