UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 7 Issue 8
August-2020
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIREF06011


Registration ID:
236073

Page Number

69-80

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Title

Design of Data Mining Tools for Rainfall Forecasting

Abstract

The paper presents the classification and regression model developed for the rainfall forecasting of Nagpur, Pune, Mumbai and Delhi rainfall data set for the year 2008 to 2014. The research work used regression algorithms Regression Tree(RT), Multiple Linear Regression(MLR), Support Vector Machine(SVM) and Artificial Neural Network(ANN) for the development of regression model and found SVM as the best performing model using PCA as dimensionality reduction technique. The goodness of fit and predictive skill measures were used to compare the models. The classifiers Random Forest(RF),Decision Tree(DT), Naïve Bayes(NB) and K-nearest Neighbour(KNN) and found DT and NB models best classification models both before and after application of PCA using confusion matrix .

Key Words

Regression, Classification, Principal Component analysis, Data Mining, Machine Learning.

Cite This Article

"Design of Data Mining Tools for Rainfall Forecasting", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 8, page no.69-80, August-2020, Available :http://www.jetir.org/papers/JETIREF06011.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Design of Data Mining Tools for Rainfall Forecasting", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 8, page no. pp69-80, August-2020, Available at : http://www.jetir.org/papers/JETIREF06011.pdf

Publication Details

Published Paper ID: JETIREF06011
Registration ID: 236073
Published In: Volume 7 | Issue 8 | Year August-2020
DOI (Digital Object Identifier):
Page No: 69-80
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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