• DocumentCode
    659615
  • Title

    Big spatial data mining

  • Author

    Wang Shuliang ; Ding Gangyi ; Zhong Ming

  • Author_Institution
    Sch. of Software, Beijing Inst. of Technol., Beijing, China
  • fYear
    2013
  • fDate
    6-9 Oct. 2013
  • Firstpage
    13
  • Lastpage
    21
  • Abstract
    In this paper, spatial data mining is discussed in the context of big data. Firstly, we elaborate the fact that spatial data plays a primary role in big data, attracting academic community, business industry and governments. Secondly, the adverse of spatial data mining is discussed, such as much garbage, heavy pollution and its difficulties in utilization. Finally, we dissect the value in spatial big data, expound the techniques to discover knowledge from spatial big data, and investigate the transformation from knowledge into data intelligences.
  • Keywords
    Big Data; data mining; Big spatial data mining; data intelligence; knowledge discovery; Data handling; Data storage systems; Earth; Information management; Satellites; Software; Spatial databases; Big data; Data intelligence; Spatial data mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Big Data, 2013 IEEE International Conference on
  • Conference_Location
    Silicon Valley, CA
  • Type

    conf

  • DOI
    10.1109/BigData.2013.6691764
  • Filename
    6691764