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Rainfall Prediction using Data Mining Techniques
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 83 - Number 8 |
| Year of Publication: 2013 |
| Authors: Jyothis Joseph, Ratheesh T K |
10.5120/14467-2750
|
Jyothis Joseph, Ratheesh T K . Rainfall Prediction using Data Mining Techniques. International Journal of Computer Applications. 83, 8 ( December 2013), 11-15. DOI=10.5120/14467-2750
Abstract
Rainfall becomes a significant factor in agricultural countries like India. Rainfall prediction has become one of the most scientifically and technologically challenging problems in the world. A wide variety of rainfall forecast methods are available. There are mainly two approaches to predict rainfall. They are Empirical method and dynamical method. The empirical approach is based on analysis of historical data of the rainfall and its relationship to a variety of atmospheric and oceanic variables over different parts of the world. The most widely used empirical approaches used for climate prediction are regression, artificial neural network, fuzzy logic and group method of data handling. This paper uses data mining techniques such as clustering and classification techniques for rainfall prediction.
References
- M. Kannan, S. Prabhakaran, P. Ramachandran "Rainfall Forecasting Using Data Mining Technique" International Journal of Engineering and Technology Vol. 2 (6), 2010, pp. 397-401.
- Jasmeen Gill, Baljeet Singh and Shaminder Singh, "Training Back Propagation Neural Networks with Genetic Algorithm for Weather Forecasting", IEEE 8th International symposium on intelligent systems and informatics Serbia, 2010.
- Sumi S. Monira, Zaman M. Faisal,H. Hirose "Comparison of Artificially Intelligent Methods in Short Term Rainfall Forecast" the 13th International Conference on Computer And Information Technology (ICCIT 2010) , vol. PID728, 2010. 12.
- S. Kannan , Subimal Ghosh, "Prediction of daily rainfall state in a river basin using statistical downscaling from GCM output, Stochastic Environmental Research and Risk Assessment. May 2011, Volume 25, Issue 4, pp 457-474.
- Najmeh Khalili , Saeed Reza Khodashenas et al. "Daily Rainfall Forecasting for Mashhad Synoptic Station using Artificial Neural Networks" 2011 International Conference on Environmental and Computer Science IPCBEE vol. 19(2011) © (2011) IACSIT Press, Singapore.
- Enireddy. Vamsidhar K. V. S. R. P. Varma et al. "Prediction of Rainfall Using Backpropagation Neural Network Model" (IJCSE) International Journal on Computer Science and Engineering Vol. 02, No. 04, 2010, pp. 1119-1121.
- A. Elshafie, A. Shehata,Hasan G. El Mazoghi et al. "Artificial neural network technique for rainfall forecasting applied to Alexandria, Egypt" International Journal of the Physical Sciences Vol. 6(6), pp. 1306–1316, 18 March, 2011 ISSN 1992-1950 ©2011 Academic Journals.
- Herbert K. H. Lee ISDS, Duke University, "A Framework for Nonparametric Regression Using Neural Networks", Technical Report 00-32, Duke University, Institute of Statistics and Decision Sciences.
- Khaled Hammouda ,Prof. Fakhreddine Karray ''A Comparative Study of Data ClusteringTechniques'' SYDE 625: Tools of Intelligent Systems Design. Course Project.
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