Spurious patterns in Google Trends data : an analysis of the effects on tourism demand forecasting in Germany
Year of publication: |
2019
|
---|---|
Authors: | Bokelmann, Björn ; Lessmann, Stefan |
Published in: |
Tourism management : research, policies, practice. - Amsterdam [u.a.] : Elsevier Science, ISSN 0261-5177, ZDB-ID 802245-8. - Vol. 75.2019, p. 1-12
|
Subject: | Forecasting | Tourism demand | Big data analytics | Search query data | Google trends | Prognoseverfahren | Forecasting model | Tourismus | Tourism | Nachfrage | Demand | Suchmaschine | Search engine | Deutschland | Germany | Big Data | Big data | Data Mining | Data mining |
-
Forecasting tourist arrivals with machine learning and internet search index
Sun, Shaolong, (2019)
-
Forecasting destination weekly hotel occupancy with big data
Pan, Bing, (2017)
-
Forecasting tourism demand with composite search index
Li, Xin, (2017)
- More ...
-
Improving uplift model evaluation on randomized controlled trial data
Bokelmann, Björn, (2024)
-
Tamatam, Roopteja, (2019)
-
Data Mining mit der Support Vektor Maschine
Lessmann, Stefan, (2007)
- More ...