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Published in:

Volume 7 Issue 7
July-2020
eISSN: 2349-5162

Unique Identifier

JETIR2007394

Page Number

750-755

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Title

Enhanced Rainfall Predictions using Stacking Technique

ISSN

2349-5162

Cite This Article

"Enhanced Rainfall Predictions using Stacking Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 7, page no.750-755, July-2020, Available :http://www.jetir.org/papers/JETIR2007394.pdf

Abstract

Rainfall is the most crucial process of nature. All the living beings rely on water and rainfall is a process that is responsible for the continual process of the water cycle. Many human activities like agriculture are dependent on rainfall, especially in a country like India. Thus, it is essential and necessary to predict the rainfall patterns to estimate the flooding and drowning events. Application of data mining algorithms is the best way to forecast rainfall. This paper outlines the use of stacking technique to predict rainfall. In stacking technique, there are two layers - the first layer is considered as the meta layer and the second layer is considered as the base layer. Classification techniques such as Bayesian, decision tree, support vector machine, and K nearest neighbor are used in the base layer and in the meta layer, dip neural networks provide greater accuracy for ensemble techniques.

Key Words

Stacking; Data Mining; Ensemble; Rainfall; Deep Neural Network.

Cite This Article

"Enhanced Rainfall Predictions using Stacking Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 7, page no. pp750-755, July-2020, Available at : http://www.jetir.org/papers/JETIR2007394.pdf

Publication Details

Published Paper ID: JETIR2007394
Registration ID: 235715
Published In: Volume 7 | Issue 7 | Year July-2020
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.24162
Page No: 750-755
ISSN Number: 2349-5162

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Cite This Article

"Enhanced Rainfall Predictions using Stacking Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 7, page no. pp750-755, July-2020, Available at : http://www.jetir.org/papers/JETIR2007394.pdf




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