• DocumentCode
    2256022
  • Title

    Data mining process model for marketing and CRM

  • Author

    Pan, Ding

  • Author_Institution
    Center for Bus. Intell. Res., Jinan Univ., Guangzhou, China
  • Volume
    1
  • fYear
    2010
  • fDate
    11-14 July 2010
  • Firstpage
    433
  • Lastpage
    438
  • Abstract
    The role of data mining has become increasingly important for organizational marketing that has large databases of information on customers. The data mining researchers have presented various mining algorithms to extract patterns in data for successful CRM approach. The traditional dominant KDD process model offers valuable guidance on the projected-management oriented stages, with no relevant mechanism to provide guidance in the crucial issue of business understanding, model selection and known knowledge integration. The requirements of continuous data mining process for marketing and CRM environment are described, and then a novel integrative framework for knowledge discovery process is proposed, and a knowledge conceptual hierarchy to characterize the process operation features and interrelations is discussed.
  • Keywords
    customer relationship management; data mining; marketing data processing; project management; CRM; continuous data mining process; dominant KDD process model; knowledge conceptual hierarchy; knowledge discovery process; knowledge integration; organizational marketing; pattern extraction; project management; Business; Context modeling; Data mining; Data models; Delta modulation; Monitoring; Ontologies; Campaign management; Knowledge management; Process model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-6526-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2010.5581022
  • Filename
    5581022