Data mining in general is the search for hidden pat
terns that may exist in large databases Spatial data
mining in particular is the discovery of interesting
relationships and characteristics that may exist im
plicitly in spatial databases Because of the hugeamounts usually terabytes of spatial data that may
be obtained from satellite images medical equipments
video cameras etc it is costly and often unrealistic
for users to examine spatial data in detail Spatial
data mining aims to automate such a knowledge dis
covery process Thus it plays an important role in a
extracting interesting spatial patterns and features
b
capturing intrinsic relationships between spatial and
nonspatial data
c presenting data regularity con
cisely and at higher conceptual levels
and d helping
to reorganize spatial databases to accommodate data
semantics as well as to achieve better performance 数据挖掘研究院
