Decoding the future : proposing an interpretable machine learning model for hotel occupancy forecasting using principal component analysis
Daniele Contessi, Luciano Viverit, Luís Nobre Pereira, Cindy Yoonjoung Heo
| Year of publication: |
2024
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|---|---|
| Authors: | Contessi, Daniele ; Viverit, Luciano ; Pereira, Luis Nobre ; Heo, Cindy Yoonjoung |
| Published in: |
International journal of hospitality management. - Amsterdam [u.a.] : Elsevier Science, ISSN 0278-4319, ZDB-ID 2027743-X. - Vol. 121.2024, Art.-No. 103802, p. 1-17
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| Subject: | Additive pickup method | Hotel Demand Forecasting | Machine learning | Principal components analysis | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Hotellerie | Hotel industry | Hauptkomponentenanalyse | Principal component analysis |
freely available
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ijhm.2024.103802 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015071350