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
|
|---|---|
| Authors: | Contessi, Daniele ; Viverit, Luciano ; Pereira, Luis Nobre ; Heo, Cindy Yoonjoung |
| 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