Tourism forecasting using hybrid modified empirical mode decomposition and neural network
Due to the dynamically increasing importance of the tourism industry worldwide, new approaches for tourism demand forecasting are constantly being explored especially in this Big Data era. Hence, the challenge lies in predicting accurate and timely forecast using tourism arrival data to assist gover...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
International Center for Scientific Research and Studies
2017
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/66467/1/RuhaidahSamsudin12017_TourismForecastingusingHybridModified.pdf http://eprints.utm.my/id/eprint/66467/ http://home.ijasca.com/data/documents/Vol_9_1_ID-14_Pg14-31.pdf |
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| Institution: | Universiti Teknologi Malaysia |
| Language: | English |