지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전자공학회 IEIE Transactions on Smart Processing & Computing IEIE Transactions on Smart Processing & Computing Vol.13 No.4
- 발행연도
- 2024.8
- 수록면
- 383 - 392 (10page)
- DOI
- 10.5573/IEIESPC.2024.13.4.383
이용수
초록· 키워드
오류제보하기
Smart tourism is of great significance in society, and its core is how to obtain and utilize tourism-related information efficiently to provide a better tourism experience. This paper proposes a data mining method based on the Apriori association rule algorithm to solve the difficult search problem for complex and diverse tourism information. During the process, operator data are used as the data source for data mining, and the Apriori association rule algorithm is used as the foundation to construct a smart tourism information search method. The method is constrained by the tourists’ travel order data at different tourist locations, and multithreaded parallel computing of the data is achieved through a parallel computing framework. The experimental results show that the initial accuracy of the proposed method in mining data types can reach up to 97.8%. When testing the number of association rules, the proposed method only had 2317 association rules with a support level of 0.032. The proposed method had a runtime of only 13.6Ks when involving 50M data pieces in large-scale datasets, which was lower than other methods. Hence, the proposed method can effectively search for smart tourism information and has high search efficiency and data accuracy.
목차
Abstract
1. Introduction
2. Related Works
3. Intelligent Tourism Information Search Method
4. Effectiveness Analysis of Smart Tourism Information Search Methods
5. Conclusion
Reference
참고문헌 (17)
참고문헌 신청
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Chen G, So K K F, Hu X, Poomchaisuwan M. Travel for affection: A stimulus-organism-response model of honeymoon tourism experiences. Journal of Hospitality & Tourism Research, 2022, 46(6): 1187-1219. Article (CrossRef Link)
Doborjeh Z, Hemmington N, Doborjeh M, Kasabov N. Artificial intelligence: a systematic review of methods and applications in hospitality and tourism. International Journal of Contemporary Hospitality Management, 2022, 34(3): 1154-1176. Article (CrossRef Link)
Eskandari M, Alizadeh Bahmani A H, Mardani-Fard H A, Karimzadeh I, Omidifar N, Peymani P. Evaluation of factors that influenced the length of hospital stay using data mining techniques. BMC Medical Informatics and Decision Making, 2022, 22(1): 1-11. Article (CrossRef Link)
Hu X, Yang Y. What makes online reviews helpful in tourism and hospitality? A bare-bones meta-analysis. Journal of hospitality marketing & management, 2021, 30(2): 139-158. Article (CrossRef Link)
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