|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 95 - Issue 10 |
| Published: June 2014 |
| Authors: Aastha Sharma, Setu Chaturvedi, Bhupesh Gour |
10.5120/16631-6500
|
Aastha Sharma, Setu Chaturvedi, Bhupesh Gour . A Semi- Supervised Technique for Weather Condition Prediction using DBSCAN and KNN. International Journal of Computer Applications. 95, 10 (June 2014), 21-26. DOI=10.5120/16631-6500
@article{ 10.5120/16631-6500,
author = { Aastha Sharma,Setu Chaturvedi,Bhupesh Gour },
title = { A Semi- Supervised Technique for Weather Condition Prediction using DBSCAN and KNN },
journal = { International Journal of Computer Applications },
year = { 2014 },
volume = { 95 },
number = { 10 },
pages = { 21-26 },
doi = { 10.5120/16631-6500 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2014
%A Aastha Sharma
%A Setu Chaturvedi
%A Bhupesh Gour
%T A Semi- Supervised Technique for Weather Condition Prediction using DBSCAN and KNN%T
%J International Journal of Computer Applications
%V 95
%N 10
%P 21-26
%R 10.5120/16631-6500
%I Foundation of Computer Science (FCS), NY, USA
Weather condition prediction has always been a keen area of interest among researchers and climate change prediction experts. Due to gradual changes in the atmospheric and climatic conditions the appropriate prediction task has become a formidable challenge. In this paper we propose a semi- supervised weather prediction technique to validate the predictions done for certain atmospheric parameters taken for four years on a day wise basis in a certain city. The experimental outcomes of this work show that this semi supervised technique provides appropriate results and can be used for weather condition prediction & analysis.