Discovering tourist preference for electing destinations: a pattern mining based approach-Reference-Cited by-同舟云学术

Discovering tourist preference for electing destinations: a pattern mining based approach

Published:2021-08-31 Issue:10 Volume:26 Page:1081-1096
ISSN:1094-1665
Container-title:Asia Pacific Journal of Tourism Research
language:en
Short-container-title:Asia Pacific Journal of Tourism Research

Author:

Islam Md Rafiqul¹^ORCID,Abdul Kader Jilani Munshi Muhammad²^ORCID,Miah Shah Jahan³^ORCID,Akter Sanjita⁴^ORCID,Ulhaq Anwaar⁵^ORCID

Affiliation:

1. Advanced Analytics Institute (AAi), University of Technology Sydney, Sydney, Australia

2. Department of Human Resource Management, Bangladesh Institute of Governance and Management (BIGM), Affiliated to the University of Dhaka, Dhaka, Bangladesh

3. Newcastle Business School, The University of Newcastle, Newcastle, Australia

4. Department of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh

5. School of Computing and Mathematics, Charles Sturt University, Albury, Australia

Publisher

Informa UK Limited

Subject

Tourism, Leisure and Hospitality Management,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10941665.2021.1954676

Reference85 articles.

1. Assessment of Hotel Performance and Guest Satisfaction through eWOM: Big Data for Better Insights

2. BIG DATA AND TOURISM: opportunities and aplications in tourism destination management

3. Effects of Motivational factors on Employees Job Satisfaction: A case study of University of the Punjab, Pakistan

4. Dominated destinations of tourist inside Iraq using personal information and frequency of travel

Cited by 2 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. Nation-wide touristic flow prediction with Graph Neural Networks and heterogeneous open data;Information Fusion;2023-03

2. Does Face Consciousness Affect Tourist Behaviour at Festival Events? A Korean Perspective;Sustainability;2021-10-19