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A behavioral analysis of web sharers and browsers in Hong Kong using targeted association rule mining

Rong, Jia ORCID: 0000-0002-9462-3924, Vu, Huy quan ORCID: 0000-0003-1947-2879, Law, R and Li, G (2012) A behavioral analysis of web sharers and browsers in Hong Kong using targeted association rule mining. Tourism Management, 33 (4). 731 - 740. ISSN 0261-5177

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Item Type: Article
Uncontrolled Keywords: data mining; behavioural analysis; tourism management; tourists; consumer behaviour; outbound tourism; eWOM; electronic word of mouth
Subjects: FOR Classification > 0801 Artificial Intelligence and Image Processing
FOR Classification > 1503 Business and Management
FOR Classification > 1506 Tourism
Faculty/School/Research Centre/Department > College of Science and Engineering
Depositing User: Symplectic Elements
Date Deposited: 10 Jan 2017 01:06
Last Modified: 18 Mar 2018 22:04
URI: http://vuir.vu.edu.au/id/eprint/32422
DOI: https://doi.org/10.1016/j.tourman.2011.08.006
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Citations in Scopus: 47 - View on Scopus

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