Data mining: concepts and techniques
Data mining: concepts and techniques
Spatial Data Mining: Database Primitives, Algorithms and Efficient DBMS Support
Data Mining and Knowledge Discovery
Geographic Data Mining and Knowledge Discovery
Geographic Data Mining and Knowledge Discovery
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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.