International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 27 - Number 3 |
Year of Publication: 2011 |
Authors: Dr.Kirti Malhotra, H.Venugopal |
10.5120/3284-4473 |
Dr.Kirti Malhotra, H.Venugopal . Association Rules of Data Mining for the Characteristic Analysis of Sub-basins of a River. International Journal of Computer Applications. 27, 3 ( August 2011), 5-8. DOI=10.5120/3284-4473
The sub basins of a river are not hydrologically homogeneous, because of their location, drainage pattern, precipitation and other characteristics. The present study is a new approach for developing relationships between different hydrological parameters such as cloud cover, potential evapotranspiration (PET), Reference Crop Evapotranspiration (RCET), vapor pressure, temperature, precipitation and discharge of different sub basins. The study considers the application of association rules of data mining for 8 sub basins of a river in south India. An attempt is also made to check whether the developed association rules in the data hyperspace have any physical meaning or not. The generated association rules indicate there is hydrological homogeneity between some sub basins while others are hydrologically heterogeneous.