• DocumentCode
    2020250
  • Title

    Spatial Data Mining and its application in Marine Geographical Information System

  • Author

    Li Gaixiao ; Peng Rencan ; Zheng Yidong ; Zhao Jidong

  • Author_Institution
    Dept. of Hydrogr. & Cartography, Dalian Naval Acad., Dalian, China
  • Volume
    1
  • fYear
    2010
  • fDate
    17-18 July 2010
  • Firstpage
    514
  • Lastpage
    516
  • Abstract
    The Spatial Data Mining as an important step of knowledge discovery process means to extract the unknown, valuable and operable relationships, patterns or trends for decision support system from large spatial databases and data warehouse. With the rapid development of marine surveying and mapping technology and computer storage devices, massive amounts spatial data appears in the Marine Geographical Information System. Traditional data processing could not discover the potential knowledge. How to make full use of the Spatial Data Mining technology to obtain the implicit rules, trends and relevance in marine spatial data becomes the most important issue on hydrographic and cartographic field. This paper introduced the basic principle of Spatial Data Mining technique, analyzed the potential knowledge which could be obtained by Spatial Data Mining, and studied the application which spatial Data Mining in marine geographic information system. It provides a new opportunity to resolve the “knowledge hunger”, and becomes a new research and development directions for current hydrographic surveying and charting field.
  • Keywords
    data mining; data warehouses; geographic information systems; marine systems; visual databases; cartographic field; charting field; computer storage device; data warehouse; decision support system; hydrographic field; hydrographic surveying; knowledge discovery process; mapping technology; marine geographical information system; marine spatial data; marine surveying; spatial data mining; spatial databases; Construction industry; Decision making; Navigation; Surfaces; Marine Geographical Information System; Spatial Data Mining; hydrographic and cartographic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environmental Science and Information Application Technology (ESIAT), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7387-8
  • Type

    conf

  • DOI
    10.1109/ESIAT.2010.5568881
  • Filename
    5568881