Weather Forecasting using R

Authors

  • Pritam Sah  Tulsiramji Gaikwad Patil College of Engineering and Technology, Wardha Road, Nagpur, Maharashtra, India
  • Prof. Jayant Adhikari  Tulsiramji Gaikwad Patil College of Engineering and Technology, Wardha Road, Nagpur, Maharashtra, India
  • Prof. Rajesh Babu  Tulsiramji Gaikwad Patil College of Engineering and Technology, Wardha Road, Nagpur, Maharashtra, India

Keywords:

R programming, Logistic Regression, Decision Tree, Random Forest, weather forecasting.

Abstract

In this project, we are using the public data and mining the useful pattern so as to get the appropriate results at the end. R programming is a language for statistical computing and can be used to graphically display the output. Using R programming following statistical works can be done such as linear and nonlinear modelling, clustering, graphical representation of data techniques, classification.. One of the advantage of R's is the way in which well graphically designed graphs on-quality plots can be produced, mathematical symbols and formulae. In this project, we are using 3 algorithms i.e Logistic Regression, Decision Tree, Random Forest to forecast whether Rainfall may occur or not. By using 3 algorithms we are trying to increase the accuracy of weather forecasting.

References

  1. Sanjay Chakraborty, N.K.Nagwani, Lopamudra Dey “Weather Forecasting using Incremental K-Means clustering”, in CiiT International Journal of Data Mining & Knowledge Engineering, May 2012
  2. S.Chakraborty and N.K.Nagwani ,“Performance evaluation of incremental K-means clustering algorithm ”, in IFRSA International Journal of Data Warehousing & Mining (IIJDWM), vol.1, 2011,pp-54-59
  3. Susmita Datta and Somnath Datta, “Comparisons and validation of statistical clustering techniques for microarray gene expression data” Bioinformatics, vol. 19, pp.459–466, 2003.

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Published

2018-06-30

Issue

Section

Research Articles

How to Cite

[1]
Pritam Sah, Prof. Jayant Adhikari, Prof. Rajesh Babu, " Weather Forecasting using R, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 5, pp.967-971, May-June-2018.