Malaysian tourism interest forecasting using Nonlinear Auto-Regressive Moving Average (NARMA) model
Tourism is an important industry for many nations including Malaysia. A tourism forecasting model is necessary in order to optimize resource allocation to maximize facilities and services to tourists. In realization of this issue, this paper proposes a comparison between two models (Nonlinear Auto-R...
Published in: | IEEE Symposium on Wireless Technology and Applications, ISWTA |
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Main Author: | |
Format: | Conference paper |
Language: | English |
Published: |
IEEE Computer Society
2014
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Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84920053678&doi=10.1109%2fISWTA.2014.6981186&partnerID=40&md5=7838c8070cee203afa77e7fbea212cb3 |