A Novel method for Rainfall Prediction using Machine Learning

Authors(2) :-Priti Pandey, Pankaj Richhariya

Surges are viewed as catastrophic events that can cause setbacks and destroying of infra structures. Uncertainty of rainfall also creates problem, a reduced amount of rainfall and high amount of rainfall both are not desirable henceforth for both the cases water resource management is necessary. Prediction of rainfall can play impotent role for WRM (Water resource management). After studying different literature, work can be carried out using data mining techniques and machine learning model. In this we have proposed a rainfall prediction model which is an integration of clustering data mining technique and multiple regression, which will make efficient and accurate prediction. Proposed algorithm used k- nearest neighbor regression, and we have also implemented k-medoid regression. Further we have passed predicted data to classifier which will generate confusion matrix with two values TPR (True Positive Rate) and FNR (False negative Rate).

Authors and Affiliations

Priti Pandey
Bhopal Institute of Technology and Science, Bhopal, Madhya Pradesh, India
Pankaj Richhariya
Bhopal Institute of Technology and Science, Bhopal, Madhya Pradesh, India

WRM, TPR, FNR

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Publication Details

Published in : Volume 3 | Issue 6 | September-October 2017
Date of Publication : 2017-10-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 347-352
Manuscript Number : IJSRSET173647
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Priti Pandey, Pankaj Richhariya, " A Novel method for Rainfall Prediction using Machine Learning , International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 6, pp.347-352, September-October-2017.
Journal URL : http://ijsrset.com/IJSRSET173647

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