International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 95 - Issue 10 |
Published: June 2014 |
Authors: Aastha Sharma, Setu Chaturvedi, Bhupesh Gour |
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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.