A SURVEY ON CLASSIFICATION TECHNIQUES USED FOR RAINFALL FORECASTING

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Published: Oct 20, 2017
DOI: https://doi.org/10.26483/ijarcs.v8i8.4645
Keywords:
Bayesian classification, Decision Tree, SVM, Fuzzy logic and Genetic Algorithm

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VenkataNagendra Kolluru
Research Scholar VSUniversity, NELLORE
Dr. Maligela Ussenaiah

Abstract

Data mining is one of the major areas of research. An extensive research is being done on classification, which is one of the functionalities of data mining. A variety of classification techniques such as Decision Tree Induction, Bayesian Classification, Naïve Bayes Classifiers, Artificial Neural Networks, Multi Layer Perceptron, Genetic algorithms , Fuzzy logic and Support Vector Machines have been developed. Many researchers have made comparative analysis of different classification techniques with respect to different applications. In this paper, we discuss different classification techniques used for rainfall forecasting. The main aim of this paper is to generate sound knowledge on various techniques of classification used for rainfall forecasting.

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Issue
Vol. 8 No. 8 (2017): September-October
Section
Articles

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Author Biography

VenkataNagendra Kolluru, Research Scholar VSUniversity, NELLORE

Department of Computer Science

References

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