Discovery of General Knowledge in Large Spatial Databases.

Abstract

Extraction of interesting and general knowledge from large spatial databases is an important task in the development of spatial dataand knowledge-base systems. In this paper, we investigate knowledge discovery in spatial databases and develop a generalization-based knowledge discovery mechanism which integrates attribute-oriented induction on nonspatial data and spatial merge and generalization on spatial data. The study shows that knowledge discovery has wide applications in spatial databases, and relatively efficient algorithms can be developed for discovery of general knowledge in large spatial databases.