• DocumentCode
    3322720
  • Title

    Context of the concept drift in data mining: An empirical study on the regional economic influence to the relation between demographic attributes and credit card holder’s loyalty

  • Author

    Mo Jia-hui ; Zou Peng ; Chen Jin

  • Author_Institution
    Sch. of Manage., Harbin Inst. of Technol., Harbin
  • fYear
    2008
  • fDate
    10-12 Sept. 2008
  • Firstpage
    38
  • Lastpage
    43
  • Abstract
    In data mining field, concept drift means that the original rule can not adapt to the sample. Concept drift will make the rules unable to be used widely. Recent works supposed the concept drift was influenced by many hidden factors which is called context factor, but did not give evidence. Based on the concept drift theories, this paper carried on the empirical study with Chinese credit card holders, finding the regional economic environment is a remarkable context factor to the individual loyal behavior; it hidden influenced the relation between individual characteristic and their behavior indirectly. This research offered a real empirical example for the influence of context factors of concept drift and proposed a special perspective for Chinese credit card market.
  • Keywords
    credit transactions; data mining; economics; Chinese credit card holders; context factor; data mining; regional economic influence; Conference management; Credit cards; Data mining; Demography; Engineering management; Environmental economics; Human resource management; Information filtering; Statistics; Technology management; concept drift; context factor; customer loyalty; data mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science and Engineering, 2008. ICMSE 2008. 15th Annual Conference Proceedings., International Conference on
  • Conference_Location
    Long Beach, CA
  • Print_ISBN
    978-1-4244-2387-3
  • Electronic_ISBN
    978-1-4244-2388-0
  • Type

    conf

  • DOI
    10.1109/ICMSE.2008.4668891
  • Filename
    4668891