Spatial association mining has been used for discovering frequent spatial relationship
patterns from a large spatial database. When the database is constantly updated with fresh …

Spatial association mining has been used for discovering frequent spatial association
patterns from large static spatial databases. When a large spatial database is updated, it is …

Spatial association pattern mining is a useful spatial data mining task for discovering
interesting relationship patterns of spatial features based on spatial proximity. Spatial data …

Spatial association mining is the process of dis-covering interesting relationship and
correlation patterns from spatial and spatiotemporal data. This work concerns finding the …

Spatial association rule mining is a useful tool for discovering correlations and interesting
relationships among spatial objects. Co-locations, or sets of spatial events which are …

Explosive growths in geospatial data, followed by the emergence of social media and
location sensing technologies, have emphasized the need to develop new and …

Co-location patterns or subsets of spatial features, whose instances are frequently located
together, are particularly valuable for discovering spatial dependencies. Although lots of …

Spatial co-location patterns, whose instances are frequently located together in geography,
are particularly valuable for discovering spatial dependencies. Since its inception, lots of co …

The increasing usage of Geographical Information Systems (GIS) for various problems
makes the volume of spatial data is growing fast. Spatial data mining is one of the several …

ABSTRACT Spatial Data Mining is based on correlation of spatial objects in space. Mining
frequent pattern from spatial databases systems has always remained a challenge for …