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Rainfall Prediction Using Data Mining Techniques - A Survey
2013
Computer Science & Information Technology ( CS & IT )
unpublished
Rainfall is considered as one of the major components of the hydrological process; it takes significant part in evaluating drought and flooding events. Therefore, it is important to have an accurate model for rainfall prediction. Recently, several data-driven modeling approaches have been investigated to perform such forecasting tasks as multilayer perceptron neural networks (MLP-NN). In fact, the rainfall time series modeling (SARIMA) involvesimportant temporal dimensions. In order to evaluate
doi:10.5121/csit.2013.3903
fatcat:fplyx4nakbgylm4u5z5r3yzfzq