• DocumentCode
    2616655
  • Title

    Based on Struts + Hibernate and J2EE framework of data mining technology research and design

  • Author

    Luo, Entao ; Li, Wen

  • Author_Institution
    Dept. of Comput. & Inf. Sci., HuNan Univ. of Sci. & Eng., Yongzhou, China
  • fYear
    2011
  • fDate
    27-29 June 2011
  • Firstpage
    3068
  • Lastpage
    3071
  • Abstract
    This article comprehensively using J2EE, Struts, Hibernate, MVC design patterns, Data mining technology etc, Established a multilayer distributed of E-government system, And using for reference the Winters model, Unitary linear regression, quadric exponential smoothing model of data were abstracted prediction, And in the J2EE platform using Java language to realization.
  • Keywords
    Java; data mining; J2EE framework; J2EE platform; Java language; MVC design pattern; Struts + Hibernate; Winters model; data mining technology research; e-government system; quadric exponential smoothing model; unitary linear regression; Analytical models; Data mining; Data models; Information science; Java; Predictive models; Yttrium; Exception handling; Hibernate; J2EE; MVC; Struts; Winters model; data mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Service System (CSSS), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9762-1
  • Type

    conf

  • DOI
    10.1109/CSSS.2011.5974473
  • Filename
    5974473