Application exploration of Daqing smart tourism big data based on association rule mining and machine learning
2022 IEEE International Conference on Electrical Engineering, Big Data and Algorithms, EEBDA 2022
; : 54-56, 2022.
Article
in English
| Scopus | ID: covidwho-1831761
ABSTRACT
This paper expounds the application and exploration of smart tourism in Daqing under the development of big data technology and the situation of COVID-19. Through the association rules mining, we build Daqing's global tourism data platform and realize intelligent tourism. Combined with the epidemic situation, the digital anti epidemic exploration of Daqing cultural and tourism scenic spot is carried out. Under the guidance of association rule mining and learning, the integration support of each association system is carried out to improve the confidence, so as to establish an all-round, integrated and intelligent smart tourism pattern. © 2022 IEEE.
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Scopus
Language:
English
Journal:
2022 IEEE International Conference on Electrical Engineering, Big Data and Algorithms, EEBDA 2022
Year:
2022
Document Type:
Article
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