Machine Learning based Forecasting Systems for Worldwide International Tourists Arrival-Reference-Cited by-同舟云学术

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Machine Learning based Forecasting Systems for Worldwide International Tourists Arrival

Published:2021 Issue:11 Volume:12 Page:
ISSN:2156-5570
Container-title:International Journal of Advanced Computer Science and Applications
language:en
Short-container-title:IJACSA

Author:

Mishra Ram Krishn,Urolagin Siddhaling,Jothi J. Angel Arul,Nawaz Nishad,Ramkissoon Haywantee

Publisher

The Science and Information Organization

Subject

General Computer Science

Link

http://thesai.org/Downloads/Volume12No11/Paper_7-Machine_Learning_based_Forecasting_Systems.pdf

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Promoting pro-environmental behaviour spillover through chatbots;Journal of Sustainable Tourism;2024-08-20

2. Forecasting Smart Tourism Visitor Flows Leveraging Big Data Technology Assistance;International Journal of e-Collaboration;2024-07-16

3. Machine learning applied to tourism: A systematic review;WIREs Data Mining and Knowledge Discovery;2024-07-04

4. Developing and testing the efficacy of a novel forecasting methodology: Theory and evidence from China;Tourism Economics;2024-04-19

5. Advancing tourism demand forecasting in Sri Lanka: evaluating the performance of machine learning models and the impact of social media data integration;Journal of Tourism Futures;2023-12-15

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