Machine Learning based Forecasting Systems for Worldwide International Tourists Arrival
Journal article
Authors | Mishra, Ram Krishn, Urolagin, Siddhaling, Jothi, J. Angel Arul, Nawaz, Nishad and Haywantee, Ramkissoon |
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Abstract | The international tourist movement has overgrown |
Keywords | Tourists; forecasting; machine learning; Covid-19 |
Year | 2021 |
Journal | International Journal of Advanced Computer Science and Applications |
Publisher | The Science and Information Organisation |
ISSN | 2156-5570 |
Digital Object Identifier (DOI) | https://doi.org/10.14569/IJACSA.2021.0121107 |
Web address (URL) | http://hdl.handle.net/10545/626153 |
hdl:10545/626153 | |
Publication dates | Nov 2021 |
Publication process dates | |
Deposited | 13 Dec 2021, 12:17 |
Accepted | Nov 2021 |
Contributors | BITS Pilani, Dubai Campus Dubai, United Arab Emirates, Kingdom University, Riffa, Kingdom of Bahrain and University of Derby |
File | File Access Level Open |
File | File Access Level Open |
https://repository.derby.ac.uk/item/93z2v/machine-learning-based-forecasting-systems-for-worldwide-international-tourists-arrival
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