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Tourism forecasting using modified empirical mode decomposition and group method of data handling
| Content Provider | Scilit |
|---|---|
| Author | Yahya, N. A. Samsudin, R. Shabri, A. |
| Copyright Year | 2017 |
| Description | Journal: Journal of Physics: Conference Series In this study, a hybrid model using modified Empirical Mode Decomposition (EMD) and Group Method of Data Handling (GMDH) model is proposed for tourism forecasting. This approach reconstructs intrinsic mode functions (IMFs) produced by EMD using trial and error method. The new component and the remaining IMFs is then predicted respectively using GMDH model. Finally, the forecasted results for each component are aggregated to construct an ensemble forecast. The data used in this experiment are monthly time series data of tourist arrivals from China, Thailand and India to Malaysia from year 2000 to 2016. The performance of the model is evaluated using Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE) where conventional GMDH model and EMD-GMDH model are used as benchmark models. Empirical results proved that the proposed model performed better forecasts than the benchmarked models. |
| Related Links | http://iopscience.iop.org/article/10.1088/1742-6596/890/1/012140/pdf |
| ISSN | 17426588 |
| e-ISSN | 17426596 |
| DOI | 10.1088/1742-6596/890/1/012140 |
| Journal | Journal of Physics: Conference Series |
| Volume Number | 890 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2017-09-21 |
| Access Restriction | Open |
| Subject Keyword | Journal: Journal of Physics: Conference Series Tourism, Leisure, Sport and Hospitality Data Handling Empirical Mode Group Method Mode Decomposition Modified Empirical Tourism Forecasting |
| Content Type | Text |
| Resource Type | Article |
| Subject | Physics and Astronomy |
