Machine Learning in Tourism-Reference-Cited by-同舟云学术

Machine Learning in Tourism

Published:2020-09-18 Issue: Volume: Page:
ISSN:
Container-title:2020 The 3rd International Conference on Machine Learning and Machine Intelligence
language:
Short-container-title:

Author:

Afsahhosseini Fatemehalsadat¹,Al-Mulla Yaseen²

Affiliation:

1. RS & GIS Research Center, Sultan Qaboos University, Al-Khod, Muscat, Oman, and Islamic Development Bank (IsDB) Post-doctoral Scholar in ICT4D, Oman

2. RS & GIS Research Center, Sultan Qaboos University, Al-Khod, Muscat,, Oman

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3426826.3426837

Reference46 articles.

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2. Amir Hamzah D. I. Nor M. E. Saharan S. Mohd Hamdan N. F. & Nohamad N. A. I. (2018). Malaysia tourism demand forecasting using Box Jenkins approach. International Journal of Engineering & Technology 7 (4.30) 454-457. Amir Hamzah D. I. Nor M. E. Saharan S. Mohd Hamdan N. F. & Nohamad N. A. I. (2018). Malaysia tourism demand forecasting using Box Jenkins approach. International Journal of Engineering & Technology 7 (4.30) 454-457.

3. Atsalakis G. Chnarogiannaki E. & Zopounidis C. (2014). Tourism demand forecasting based on a neuro-fuzzy model. International Journal of Corporate Finance and Accounting (IJCFA) 1 (1) 60-69. Atsalakis G. Chnarogiannaki E. & Zopounidis C. (2014). Tourism demand forecasting based on a neuro-fuzzy model. International Journal of Corporate Finance and Accounting (IJCFA) 1 (1) 60-69.

4. MAPS

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