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A Semi- Supervised Technique for Weather Condition Prediction using DBSCAN and KNN

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 95 - Number 10
Year of Publication: 2014
Authors:
Aastha Sharma
Setu Chaturvedi
Bhupesh Gour
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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