Applying spatial intelligence for decision support systems

Data mining is one of the vital techniques that could be applied in different fields such as medical, educational and industrial fields. Extracting patterns from spatial data is very useful to be used for discovering the trends in the data. However, analyzing spatial data is exhaustive due to its details as it is related to locations with a special representation such as longitude and latitude. This paper aims at proposing an approach for applying data mining techniques over spatial data to find trends in the data for decision support. Basic information considering spatial data is presented with presenting the proposed approach aiming to be applied in the Egyptian organizations to prove its applicability.