Application of Empirical mode Decomposition with Wavelets Support Vector Machine in time Series Data

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Abstract

This paper mainly discussed on the forecast of Thailand tourist visiting Malaysia. This paper proposed a three-stage technique in which the empirical mode decomposition (EMD) is combined with wavelet methods and support vector machine model. We used the proposed technique, EMD_WSVM to forecast two ASEAN country tourism timeseries. Detail experiments are conducted for the proposed method, in which there is a comparison between the EMD_WSVM, WSVM and SVM methods. The proposed EMD_WSVM model is determined to be dominant to the other methods in predicting the number of tourist arrivals.

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Rafidah*, A., Shabri, A., & Mazuin, E. (2020). Application of Empirical mode Decomposition with Wavelets Support Vector Machine in time Series Data. International Journal of Innovative Technology and Exploring Engineering, 9(3), 2451–2454. https://doi.org/10.35940/ijitee.c9225.019320

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