Big Data

An Intelligent Approach for Mining Frequent Spatial Objects in Geographic Information System

Date Added: Nov 2010
Format: PDF

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 researchers. In the light of the first law of geography "Everything is related to everything else but nearby things is more related than distant things" suggests that values taken from samples of spatial data near to each other tend to be more similar than those taken farther apart. This tendency is termed spatial autocorrelation or spatial dependence. It's natural that most spatial data are not independent, they have high autocorrelation.