Dynamic referencing rules creation using intelligent agent in geo spatial data mining

Process of finding unknown and potentially useful patterns from huge geo spatial data sets is called spatial data mining. In spatial data mining the object of interest might have influence of neighboring objects, that is why useful data pattern extraction from geo spatial data sets is much more complex and difficult task than extraction of regular numeric or character data from data stores. Spatial data is kept differently in the data base; also the relationships made upon spatial data are very different in nature. A novel approach of spatial data mining stored in an RDBMS is presented in this research. Spatial data mining if accomplished can be very useful in location prediction and other geographical analysis.