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View-Angle of Spatial Data Mining

  • Shuliang Wang
  • Haning Yuan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4093)

Abstract

In order to discover the knowledge with various granularities from amounts of spatial data, a view-angle of spatial data mining is proposed. First, the view-angle of spatial data mining is defined. In its context, the essentials of spatial data mining are further developed. And the view-angle based algorithms are also presented. Second, the view-angles of Baota landslide-monitoring data mining, and their pan-hierarchical relationships, are given. Finally, view-angle III is taken as a case study to discover quantitative, qualitative and visualized knowledge from Baota landslide-monitoring databases. The results indicate that the view-angle based data mining is practical, and the discovered knowledge with various granularities may satisfy spatial decision-making at different hierarchies.

Keywords

Data Mining Spatial Data Landslide Hazard Monitoring Point Spatial Database 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Shuliang Wang
    • 1
  • Haning Yuan
    • 2
  1. 1.International School of SoftwareWuhan UniversityWuhanChina
  2. 2.School of EconomicsWuhan University of TechnologyWuhanChina

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