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Forecasting tourism demand through search queries and machine learning

In: Big Data

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  • Rendell E. de Kort

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  • Rendell E. de Kort, 2017. "Forecasting tourism demand through search queries and machine learning," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Big Data, volume 44, Bank for International Settlements.
    • Handle: RePEc:bis:bisifc:44-10
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    File URL: http://www.bis.org/ifc/publ/ifcb44f.pdf
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    References listed on IDEAS

    as
    1. Sax, Christoph & Steiner, Peter, 2013. "Temporal Disaggregation of Time Series," MPRA Paper 53389, University Library of Munich, Germany.
    2. Oscar Claveria & Enric Monte & Salvador Torra, 2013. "“Tourism demand forecasting with different neural networks models”," IREA Working Papers 201321, University of Barcelona, Research Institute of Applied Economics, revised Nov 2013.
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    Cited by:

    1. Marta Crispino & Vincenzo Mariani, 2023. "A tool to nowcast tourist overnight stays with payment data and complementary indicators," Questioni di Economia e Finanza (Occasional Papers) 746, Bank of Italy, Economic Research and International Relations Area.

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