The implementation of data mining technology in tourism industry

Siti Aishah @ Tsamienah, Taib and Noratikah, Abu and Azlyna, Senawi (2024) The implementation of data mining technology in tourism industry. In: AIP Conference Proceedings. AIP Conference Proceedings; 3rd International Conference on Applied and Industrial Mathematics and Statistics 2022, ICoAIMS 2022 , 24 - 26 August 2022 , Virtual, Online. pp. 1-7., 2895 (090026). ISSN 0094-243X (Published)

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Abstract

Data analytic approach has been widely used in combining with the traditional method in order to improve the accuracy of forecasting, especially in tourism industry. Currently, the common used approach is known as data mining technology, which can dramatically accelerate the recovery process of the tourism industry after the outbreak of COVID-19. The purpose of this paper is to review the implementation of data mining technology in tourism industry based on different case studies that were collected through selected digital databases. Based on the literature reviews, there is no doubt that data mining technology has the potential to be extremely important in tourism research. This technology can help the industrial practitioners make wise decision in future since it provides an efficient approach for identifying and comprehending customer behavior’s pattern. It is hoped that this study can contribute as a reference for the future studies and are able to help destinations and tourism businesses maintain continuous supplies of tourism products and services in order to fulfill the customer’s demand.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Tourism industry; Data mining technology; COVID-19
Subjects: G Geography. Anthropology. Recreation > GV Recreation Leisure
Q Science > QA Mathematics
Faculty/Division: Institute of Postgraduate Studies
Center for Mathematical Science
Depositing User: Dr. Noratikah Abu
Date Deposited: 10 Jan 2025 03:27
Last Modified: 10 Jan 2025 03:27
URI: http://umpir.ump.edu.my/id/eprint/43501
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