Naive Bayes clusterer

Liu, Mujiexin; Wang, Hongjun; Li, Tian Rui; Deng, Ping

doi:10.1142/9789813273238_0081

Cited by 2 publications

(2 citation statements)

References 0 publications

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“…With the new paradigm of Big Data, data needs to be analysed with new data storage and management tools to be stored efficiently (Dryga et al, 2019) in the era of Artificial Intelligence (Guo, 2020). To process the data efficiently, a clustering model called Naïve Bayes Clusterer Model can be used (Liu et al, 2018). Collaborative blockchain management in cloud computing environments can improve security in massive data storage (Tang & Zeng, 2021).…”

Section: Optimising Big Datamentioning

confidence: 99%

“…By using an adaptive neural network algorithm, it is possible to analyse the convergence of the rural and cultural tourism industry from the blockchain technology perspective (Liu, 2019). Some emerging platforms use blockchain technology to build decentralized transcoding centres so that any user can rent their inactive computing resources and become transcoders to obtain rewards (Liu et al, 2018).…”

Section: Improving the Performance Of Traditional Systemsmentioning

confidence: 99%

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Blockchain revolution in the tourism industry: A semi-systematic literature review

González-Mendes,

García-Muiña,

González-Sánchez

2024

EJTR

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This paper investigates the application of blockchain technology in the tourism industry, reviews its evolution and develops a future research agenda. A semi-systematic literature review was conducted of 98 publications from 2017 to the first quarter of 2023, indexed in the Web of Science database. This is followed by an in-depth analysis of the most recent papers (2022 to March 2023). The research focuses on the improvement of processes, their interaction with other technologies and adaptation to the environment. However, the studies show the need for further study on social and legal aspects. In addition, blockchain technology could be an enabling tool in the face of new sustainability paradigms or crisis environments. Finally, considering new lines of research, five dimensions were identified (social, organisational, technological, sustainable and economic) as well as the need to develop a regulatory framework and interaction with other technologies.

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