Intelligent forecasting of inbound tourist arrivals by social networking analysis
Tourism is very important for many countries. Many tourism demand forecasting methodologies are continuously being proposed. Most studies have used lagging economic factors as predictors, but these can cause an inaccurate prediction when unexpected events happen. In this study, a tourism social netw...
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Veröffentlicht in: | Physica A 2020-11, Vol.558, p.124944, Article 124944 |
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Format: | Artikel |
Sprache: | eng |
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