Prediction of daily tourism volume based on maximum correlation minimum redundancy feature selection and long short-term memory network
Ming Yin, Feiya Lu, Xingxuan Zhuo, Wangzi Yao, Jialong Liu, Jijiao Jiang
| Year of publication: |
2024
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|---|---|
| Authors: | Ming, Yin ; Lu, Feiya ; Zhuo, Xingxuan ; Yao, Wangzi ; Liu, Jialong ; Jiang, Jijiao |
| Published in: |
Journal of forecasting. - New York, NY : Wiley Interscience, ISSN 1099-131X, ZDB-ID 2001645-1. - Vol. 43.2024, 2, p. 344-365
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| Subject: | daily tourism volume prediction | deep learning | feature selection | search engine data | Prognoseverfahren | Forecasting model | Tourismus | Tourism | Suchmaschine | Search engine |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1002/for.3034 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://ebvufind01.dmz1.zbw.eu/10014475324