Forecasting destination weekly hotel occupancy with big data
Bing Pan and Yang Yang
| Year of publication: |
September 2017
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| Authors: | Pan, Bing ; Yang, Yang |
| Published in: |
Journal of travel research : a quarterly publication of the Travel and Tourism Research Association. - Thousand Oaks, Calif. [u.a.] : Sage, ISSN 0047-2875, ZDB-ID 864377-5. - Vol. 56.2017, 7, p. 957-970
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| Subject: | tourism demand forecasting | big data | web traffic | time series | Markov switching dynamic regression model | search engine query | Prognoseverfahren | Forecasting model | Big Data | Big data | Suchmaschine | Search engine | Tourismus | Tourism | Nachfrage | Demand | Zeitreihenanalyse | Time series analysis | Data Mining | Data mining | Hotellerie | Hotel industry |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1177/0047287516669050 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011731366