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Interpretable tourism volume forecasting with multivariate time series under the impact of COVID-19.

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Bibliographic Details
Title: Interpretable tourism volume forecasting with multivariate time series under the impact of COVID-19.
Authors: Wu, Binrong1, Wang, Lin1, Tao, Rui1, Zeng, Yu-Rong2, zyrhbue@gmail.com
Source: Neural Computing & Applications; Mar2023, Vol. 35 Issue 7, p5437-5463, 27p
Database: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: Interpretable tourism volume forecasting with multivariate time series under the impact of COVID-19.
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  Data: <searchLink fieldCode="JN" term="%22Neural+Computing+%26+Applications%22">Neural Computing & Applications</searchLink>; Mar2023, Vol. 35 Issue 7, p5437-5463, 27p
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s00521-022-07967-y
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      – Code: eng
        Text: English
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        PageCount: 27
        StartPage: 5437
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      – TitleFull: Interpretable tourism volume forecasting with multivariate time series under the impact of COVID-19.
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            NameFull: Wu, Binrong
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            NameFull: Wang, Lin
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            NameFull: Tao, Rui
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            – D: 01
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              Text: Mar2023
              Type: published
              Y: 2023
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            – TitleFull: Neural Computing & Applications
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