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pro vyhledávání: '"Amir Khatibi"'
Publikováno v:
PLoS ONE, Vol 17, Iss 12, p e0278112 (2022)
Forecasting is of utmost importance for the Tourism Industry. The development of models to predict visitation demand to specific places is essential to formulate adequate tourism development plans and policies. Yet, only a handful of models deal with
Externí odkaz:
https://doaj.org/article/8503b2d2ba2e4c588463d2539284add3
Autor:
Jussara M. Almeida, Amir Khatibi, Ana Paula Couto da Silva, Marcos André Gonçalves, Fabiano Belém
Publikováno v:
Information Processing & Management. 57:102057
Accurate predictions about future events is essential in many areas, one of them being the Tourism Industry. Usually, cities and countries invest a huge amount of money for planning and preparation in order to welcome (and profit from) tourists. The
Publikováno v:
Data in Brief
This paper aims to introduce our publicly available datasets in the area of tourism demand prediction for future experiments and comparisons. Most of the previous works in the area of tourism demand forecasting are based on coarse-grained analysis (l