Data mining based on wavelet and decision tree for rainfall-runoff simulation
Data mining based on wavelet and decision tree for rainfall-runoff simulation is a scholarly work, published in 2018 in ''Hydrology Research: an international journal''. The main subjects of the publication include watershed, wavelet, flood risk assessment, data mining, decision tree model, discrete wavelet transform, hydrological model, wavelet transform, statistics, tree, decision tree, series, surface runoff, mathematics, time series, and computer science. The results showed that the accuracy of the proposed model is better than the previous models and also indicated the effect of data pre-processing on the performance of M5 model tree.