Implementation of Rural Education Development System Using Spatial Data Mining

Abstract

Spatial data mining is the process of discovering interesting and previously unknown, but potentially useful pattern from large spatial datasets. Spatial data mining is the discovery of interesting relationships and characteristics that may exist implicitly in spatial databases. It is a highly demanding field because large amounts of spatial data have been collected in various applications ranging from remote sensing to geographical information systems, environmental assessment, computer cartography and planning. Recent studies on spatial data mining have extended the scope of data mining from relational and transactional databases to spatial databases. It shows that spatial data mining using clustering is a promising field also gives fruitful research results and many challenging issues.