• DocumentCode
    1671589
  • Title

    A knowledge discovery and data mining process model in E-marketing

  • Author

    Zeng, Huifang ; Pan, Ding

  • Author_Institution
    Center for Bus. Intell. Res., Jinan Univ., Guangzhou, China
  • fYear
    2010
  • Firstpage
    3960
  • Lastpage
    3964
  • Abstract
    Based on the process model CRISP-DM, this paper has solved E-marketing problems like network customer prediction and market segmentation. Each phase of this model was described firstly, and then its application in E-marketing was presented, which provides a complete description of all the steps, from understanding the problem domain to using the discovered knowledge. Finally a KDDM procedure of network marketing is discussed thoroughly, and a simple operating and easy understanding process model is provided to marketing people who have difficulties to make marketing decisions.
  • Keywords
    data mining; electronic commerce; marketing; CRISP-DM; data mining process model; e-marketing; knowledge discovery; market segmentation; network customer prediction; network marketing; Analytical models; Book reviews; Business; Data mining; Data models; Knowledge engineering; Predictive models; CRISP-DM; E-marketing/network marketing; data mining process; e-customer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2010 8th World Congress on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-6712-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2010.5553834
  • Filename
    5553834