Finding Water Region in Aurangabad City Using SCLD Method in Spatial Data Mining

Varsha Kundlikar; Meghna Nagori

Spatial data mining is the discovery of interesting relationships and characteristics that may exist implicitly in spatial databases. In this paper authors propose a system that will find water regions in Aurangabad city situated in Maharashtra of India using clustering method called SCLD (Spatial Clustering in Large Database), whose aim is to identify spatial structures that may be present in the large spatial data as well as to identify different types of area where stored water used for touristy purpose, dirty water that is not properly disposed.

Select Volume / Issues:

• Volume 4 Issue 3, May. 2013

Year:

2013

Type of Publication:

Article

Keywords:

Spatial Data Mining; Clustering Algorithm; SCLD

Journal:

IJECCE

Volume:

4

Number:

3

Pages:

1035-1037

Month:

May