A novel hybrid ensemble learning paradigm for tourism forecasting
In this paper, a hybrid forecasting model based on Empirical Mode Decomposition (EMD) and Group Method of Data Handling (GMDH) is proposed to forecast tourism demand. This methodology first decomposes the original visitor arrival series into several Intrinsic Model Function (IMFs) components and one...
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| Format: | Conference or Workshop Item |
| Published: |
2015
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| Online Access: | http://eprints.utm.my/id/eprint/59111/ http://dx.doi.org/10.1063/1.4907444 |
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