The implementation of data mining technology in tourism industry
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...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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AIP Publishing
2024
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| Online Access: | http://umpir.ump.edu.my/id/eprint/43501/1/2024%20Implementation%20data%20mining.pdf |
| _version_ | 1824451739569356800 |
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| author | Siti Aishah @ Tsamienah, Taib Noratikah, Abu Azlyna, Senawi |
| author_facet | Siti Aishah @ Tsamienah, Taib Noratikah, Abu Azlyna, Senawi |
| author_sort | Siti Aishah @ Tsamienah, Taib |
| collection | UMP |
| description | 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. |
| first_indexed | 2025-02-19T02:39:25Z |
| format | Conference or Workshop Item |
| id | UMPir43501 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2025-02-19T02:39:25Z |
| publishDate | 2024 |
| publisher | AIP Publishing |
| record_format | dspace |
| spelling | UMPir435012025-01-10T03:27:53Z http://umpir.ump.edu.my/id/eprint/43501/ The implementation of data mining technology in tourism industry Siti Aishah @ Tsamienah, Taib Noratikah, Abu Azlyna, Senawi GV Recreation Leisure QA Mathematics 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. AIP Publishing 2024-03-07 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/43501/1/2024%20Implementation%20data%20mining.pdf 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) https://doi.org/10.1063/5.0192228 https://doi.org/10.1063/5.0192228 |
| spellingShingle | GV Recreation Leisure QA Mathematics Siti Aishah @ Tsamienah, Taib Noratikah, Abu Azlyna, Senawi The implementation of data mining technology in tourism industry |
| title | The implementation of data mining technology in tourism
industry |
| title_full | The implementation of data mining technology in tourism
industry |
| title_fullStr | The implementation of data mining technology in tourism
industry |
| title_full_unstemmed | The implementation of data mining technology in tourism
industry |
| title_short | The implementation of data mining technology in tourism
industry |
| title_sort | implementation of data mining technology in tourism industry |
| topic | GV Recreation Leisure QA Mathematics |
| url | http://umpir.ump.edu.my/id/eprint/43501/1/2024%20Implementation%20data%20mining.pdf |
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