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Published in:

Volume 2 Issue 4
April-2015
eISSN: 2349-5162

Unique Identifier

JETIR1504016

Page Number

937-939

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Title

A Review on Statistical Modeling for Rainfall prediction using Data mining Technique

ISSN

2349-5162

Cite This Article

"A Review on Statistical Modeling for Rainfall prediction using Data mining Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 4, page no.937-939, April-2015, Available :http://www.jetir.org/papers/JETIR1504016.pdf

Abstract

Abstract - India is an agricultural country so crop productivity is highly depends upon rainfall. For the better crop productivity rainfall prediction is necessary and required. There are several techniques of rainfall prediction. Data mining technique is used to calculate or analyze the rainfall prediction. In this paper focuses on several data mining techniques like empirical method and dynamic method which is essential to predict the rainfall. The empirical method predicts rainfall using regression, ANN, Fuzzy Logic and group method of data handling. The regression is Statistical empirical technique which is used for prediction. In this paper several methods are discussed, that explore which methods will be better for prediction of rainfall.

Key Words

Keywords- Empirical method, Dynamic method, K-Nearest Neighbour algorithm, decision tree, neural network, MPR, MLR.

Cite This Article

"A Review on Statistical Modeling for Rainfall prediction using Data mining Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 4, page no. pp937-939, April-2015, Available at : http://www.jetir.org/papers/JETIR1504016.pdf

Publication Details

Published Paper ID: JETIR1504016
Registration ID: 150243
Published In: Volume 2 | Issue 4 | Year April-2015
DOI (Digital Object Identifier):
Page No: 937-939
ISSN Number: 2349-5162

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Cite This Article

"A Review on Statistical Modeling for Rainfall prediction using Data mining Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 4, page no. pp937-939, April-2015, Available at : http://www.jetir.org/papers/JETIR1504016.pdf




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