• DocumentCode
    2459787
  • Title

    A Multidimensional Pivot Table Model Based on MVVM Pattern for Rich Internet Application

  • Author

    Gao, Beibei ; Zhang, Shudong ; Yao, Naiming

  • Author_Institution
    Coll. of Inf. Eng., Capital Normal Univ., Beijing, China
  • fYear
    2012
  • fDate
    4-6 June 2012
  • Firstpage
    24
  • Lastpage
    27
  • Abstract
    Data warehouse and OLAP provide a powerful support for decision support system. As an effective means of multidimensional data visualization, Pivot table has been widely applied. However, most of the existing multidimensional data exhibition systems based on web mostly have the features of weak interaction, difficult customization and maintenance, poor performance of updating the table structure or submitting and querying repeatedly, as well as not taking full advantage of the client computing resources. In order to solve these problems, this paper proposes a multidimensional Pivot table model based on MVVM pattern, discusses the structures and characteristics of the model, and finally effectively deals with the data exhibition problems for APQSEWS based on the rich Internet application. The model independent of specific platforms is proved strong flexibility, efficiency and scalability.
  • Keywords
    Internet; data mining; data visualisation; data warehouses; decision support systems; table lookup; APQSEWS; MVVM pattern; OLAP; World Wide Web; data warehouse; decision support system; multidimensional data visualization; multidimensional pivot table model; rich Internet application; Abstracts; Business; Computational modeling; Data models; Data visualization; Data warehouses; Unified modeling language; RIA; modeling; mvvm pattern; pivot table;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer, Consumer and Control (IS3C), 2012 International Symposium on
  • Conference_Location
    Taichung
  • Print_ISBN
    978-1-4673-0767-3
  • Type

    conf

  • DOI
    10.1109/IS3C.2012.16
  • Filename
    6228239