Tourism forecasting using hybrid modified empirical mode decomposition and neural network

• Main Authors: Yahya, Nurhaziyatul Adawiyah, Samsudin, Ruhaidah, Shabri, Ani
• Format: Article
• Language: English
• Published: International Center for Scientific Research and Studies 2017
• Subjects: Q Science; QA75 Electronic computers. Computer science
• 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

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...