• DocumentCode
    502702
  • Title

    Application of data mining technique in data transmission of E-commerce based on combined grey neural network

  • Author

    Sanyuan, Shi ; Yongmei, Zuo

  • Author_Institution
    Sch. of Civil Eng., Hebei Univ. of Eng., Handan, China
  • Volume
    2
  • fYear
    2009
  • fDate
    8-9 Aug. 2009
  • Firstpage
    403
  • Lastpage
    406
  • Abstract
    Using grey system, data mining technology and radial basis function neural network, the grey system combined model and neural network, is setup, which is a effective model and the key to solve the data safety. The results show that GM is an effective way and has perfect ability to be studied and mapped in predicting data safety in the short-term period. The combined model with grey system and neural network has the properties of trend and fluctuation while the condition is combining with the time-dependent sequence data in prediction of data transmission during e-commerce activities. It is concluded that great improvement is obtained while comparing with the methods of trend prediction and simple factor in combined model of grey system and neural network.
  • Keywords
    data communication; data mining; electronic commerce; neural nets; radial basis function networks; safety; security of data; combined grey neural network; data mining technique; data safety; data transmission; e-commerce; radial basis function neural network; Civil engineering; Computer networks; Data analysis; Data communication; Data engineering; Data mining; Data security; Neural networks; Predictive models; Safety; E-commerce; combined grey neural network; data mining; data transmission;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communication, Control, and Management, 2009. CCCM 2009. ISECS International Colloquium on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-4247-8
  • Type

    conf

  • DOI
    10.1109/CCCM.2009.5267454
  • Filename
    5267454