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An Integrated Approach for Weather Forecasting based on Data Mining and Forecasting Analysis

by G.vamsi Krishna
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 120 - Number 11
Year of Publication: 2015
Authors: G.vamsi Krishna
10.5120/21273-4093

G.vamsi Krishna . An Integrated Approach for Weather Forecasting based on Data Mining and Forecasting Analysis. International Journal of Computer Applications. 120, 11 ( June 2015), 26-29. DOI=10.5120/21273-4093

@article{ 10.5120/21273-4093,
author = { G.vamsi Krishna },
title = { An Integrated Approach for Weather Forecasting based on Data Mining and Forecasting Analysis },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 120 },
number = { 11 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 26-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume120/number11/21273-4093/ },
doi = { 10.5120/21273-4093 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:05:58.051894+05:30
%A G.vamsi Krishna
%T An Integrated Approach for Weather Forecasting based on Data Mining and Forecasting Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 120
%N 11
%P 26-29
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Weather prediction is a real time challenging issue witnessed by the world in the last decade. The prediction is becoming more complex due to the ever changing weather conditions. Many models have been discussed for predicting the weather data assuming the related attributes as independent variables. For effective analysis of the weather, it is necessary to understand various influencing factors that cause the weather changes. It is therefore necessary to identify the relationship between these attributes for better understanding of the weather data. In this article, a weather prediction model based on the spatial and temporal dependencies among the climatic variables together with forecasting analysis.

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Index Terms

Computer Science
Information Sciences

Keywords

Weather data forecasting spatial data dependent and independent variables.

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