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Published in:

Volume 7 Issue 6
June-2020
eISSN: 2349-5162

Unique Identifier

JETIR2006479

Page Number

1015-1018

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Title

METACOGNITION OF RAINFALL PREDICTION USING NAÏVE BAYES TECHNIQUE IN MACHINE LEARNING

ISSN

2349-5162

Cite This Article

"METACOGNITION OF RAINFALL PREDICTION USING NAÏVE BAYES TECHNIQUE IN MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.1015-1018, June-2020, Available :http://www.jetir.org/papers/JETIR2006479.pdf

Abstract

Heavy rainfall prediction is a major problem for meteorological department as it is closely associated with the economy and life of human. The proposed framework uses machine learning technique which helps us to predict the rainfall in an efficient way by using the naïve bayes technique for decision making. Proposed system is an rainfall application which analyses the previous data related to temperature, region, area, year and various parameters can be considered for predicting the rainfall. The system is useful for the society as it is a real time application for rainfall prediction this helps the farmers to make right decision in right time, it helps farmers to get high profits.

Key Words

Machine Learning, Supervised Learning Technique, Prediction, Rainfall

Cite This Article

"METACOGNITION OF RAINFALL PREDICTION USING NAÏVE BAYES TECHNIQUE IN MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp1015-1018, June-2020, Available at : http://www.jetir.org/papers/JETIR2006479.pdf

Publication Details

Published Paper ID: JETIR2006479
Registration ID: 234705
Published In: Volume 7 | Issue 6 | Year June-2020
DOI (Digital Object Identifier):
Page No: 1015-1018
ISSN Number: 2349-5162

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Cite This Article

"METACOGNITION OF RAINFALL PREDICTION USING NAÏVE BAYES TECHNIQUE IN MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp1015-1018, June-2020, Available at : http://www.jetir.org/papers/JETIR2006479.pdf




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