An Empirical Research on Spatial Data Mining

Spatial data mining is a process of extracting expertise from large volumes of spatial data collected from different applications such as remote sensing, geographic systems and social networks, etc. The collected spatial data are too difficult for the human to analyze. Recent research focuses on data mining to extend the data mining scope from relational storages to spatial databases. A lot of effort put forth to summarize various spatial based knowledge discovery in data mining such as based on generalization, clustering based, spatial associations based, and approximations and aggregations based knowledge discovery are discussed. The discussion shows that spatial data mining is a promising area of information discovery and can lead to extensive research and many challenging issues.