• DocumentCode
    3427275
  • Title

    Research on data mining model of GIS-based urban underground pipeline network

  • Author

    Shunzhi, Zhu ; Wenxing, Hong ; Qunyong, Wu ; Maoqing, Li

  • fYear
    2009
  • fDate
    9-11 Dec. 2009
  • Firstpage
    1515
  • Lastpage
    1520
  • Abstract
    The world-wide deployment of GIS in urban underground pipeline network (UPN) has led to a rapid growth in the amount of information. To improve the management and gather useful knowledge from the UPN´s database more effectively, we integrate the UPN GIS system with data mining technology. In this paper, we study the spatial characteristics of UPN, analyze the basis of data warehouse-based data mining and propose a practical data mining model for UPN. The model performs data integration and data mining and acquires useful knowledge effectively, making the GIS system intelligent and capable of assisting decision-making.
  • Keywords
    data mining; data warehouses; decision making; geographic information systems; knowledge management; pipelines; production engineering computing; GIS-based urban underground pipeline network; UPN GIS system; data integration; data mining model; data warehouse-based data mining; decision making; knowledge management; Automatic control; Automation; Cities and towns; Data mining; Geographic Information Systems; Knowledge management; Pipelines; Scholarships; Spatial databases; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation, 2009. ICCA 2009. IEEE International Conference on
  • Conference_Location
    Christchurch
  • Print_ISBN
    978-1-4244-4706-0
  • Electronic_ISBN
    978-1-4244-4707-7
  • Type

    conf

  • DOI
    10.1109/ICCA.2009.5410340
  • Filename
    5410340