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http://hdl.handle.net/123456789/23631
Title: | APPLICATION OF EMPIRICAL MODE DECOMPOSITION WITH WAVELETS SUPPORT VECTOR MACHINE IN TIME SERIES DATA |
Authors: | A. RAFIDAH ANI SHABRI ERNIE MAZUIN (UniKL MITEC) |
Keywords: | Forecasting tourist arrivals SVM model WSVM model EMD_WSVM model |
Issue Date: | 12-Jan-2020 |
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 time series. 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. |
URI: | http://ir.unikl.edu.my/jspui/handle/123456789/23631 |
Appears in Collections: | Conference Paper |
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APPLICATION OF EMPIRICAL MODE DECOMPOSITION WITH WAVELETS SUPPORT VECTOR MACHINE IN TIME SERIES DATA.pdf | 238.72 kB | Adobe PDF | View/Open Request a copy |
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