A Visual Framework for Spatial Data Mining

  • Nguyen Vinh Nam
  • Le Hoai Bac

Abstract

The  unique properties of spatial data provide challenges  and  opportunities  for  researching  new methods  in  spatial  data  mining.  In  this  article,  we propose  an  interoperable  framework  that  integrates Geographic  Information  System  (GIS)  with  the  spatial data  mining  processto  facilitate  spatial  data preparation,  to  extract  spatial  relationships  that  can take  advantage of traditional data  mining toolkits such as Weka, and to reveal significant spatial patterns. With this approach, it’svery straightforward to adopt spatial access methods and spatial query processing algorithms foran  efficient  data  mining  technique.  Moreover,  our framework  visually  supports  the  complete  spatial  data mining process.

Published
2015-10-28
Section
Regular Articles