Abstract
This paper proposes a view-angle of spatial data mining to match the various demands on spatial data mining. Describing the various demands from different users under different spatial conditions, the view-angles of spatial data mining is to discover the knowledge with various granularities from amounts of spatial data by using a certain mining algorithms. First, the view-angle of spatial data mining is defined within its intension and extension. Second, the view-angle based algorithms are presented. Finally, as a case study, the techniques are applied to mine Baota landslide-monitoring database. The results are satisfactory.
| Original language | English |
|---|---|
| Pages (from-to) | 1058-1063 |
| Number of pages | 6 |
| Journal | Qinghua Daxue Xuebao/Journal of Tsinghua University |
| Volume | 46 |
| Issue number | SUPPL. |
| Publication status | Published - Jun 2006 |
| Externally published | Yes |
Keywords
- Granularity mining
- Mining view-angle
- Spatial data