A Semi- Supervised Technique for Weather Condition Prediction using DBSCAN and KNN
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10.5120/16631-6500 |
Aastha Sharma, Setu Chaturvedi and Bhupesh Gour. Article: A Semi- Supervised Technique for Weather Condition Prediction using DBSCAN and KNN. International Journal of Computer Applications 95(10):21-26, June 2014. Full text available. BibTeX
@article{key:article,
author = {Aastha Sharma and Setu Chaturvedi and Bhupesh Gour},
title = {Article: 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},
month = {June},
note = {Full text available}
}
Abstract
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.
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