Research Article
LCC Decision tree analysis using ID3
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 41 - Issue 19 |
| Published: March 2012 |
| Authors: N. M. Tamboli, A. M. Kamble, P. S. Metkewar |
10.5120/5649-8007
|
N. M. Tamboli, A. M. Kamble, P. S. Metkewar . LCC Decision tree analysis using ID3. International Journal of Computer Applications. 41, 19 (March 2012), 19-22. DOI=10.5120/5649-8007
@article{ 10.5120/5649-8007,
author = { N. M. Tamboli,A. M. Kamble,P. S. Metkewar },
title = { LCC Decision tree analysis using ID3 },
journal = { International Journal of Computer Applications },
year = { 2012 },
volume = { 41 },
number = { 19 },
pages = { 19-22 },
doi = { 10.5120/5649-8007 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2012
%A N. M. Tamboli
%A A. M. Kamble
%A P. S. Metkewar
%T LCC Decision tree analysis using ID3%T
%J International Journal of Computer Applications
%V 41
%N 19
%P 19-22
%R 10.5120/5649-8007
%I Foundation of Computer Science (FCS), NY, USA
Abstract
The basic principle of soil and water conservation is to use the land according to its capability. Therefore the knowledge of land capability classification is a prerequisite and important for planning of watershed development programme. The capability of land depends upon the characteristics of the land like slope, soil depth and soil type. Considering this input parameters Land Capability Classification (LCC) decision tree is formulated using ID3 algorithm. Results shown by generated decision tree are compared with the results obtained theoretically by considering ranges given in the standard table and were found similar. After successful testing of decision tree it is concluded that the model is useful for suggesting the soil and water conservation practices for watershed development plan.
References
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