A behavioral analysis of web sharers and browsers in Hong Kong using targeted association rule mining
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Rong, Jia 
ORCID: https://orcid.org/0000-0002-9462-3924, Vu, Huy Quan ORCID: https://orcid.org/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 |
| URI | https://vu-9.eprints-hosting.org/id/eprint/32422 |
| DOI | 10.1016/j.tourman.2011.08.006 |
| Official URL | http://www.sciencedirect.com/science/article/pii/S... |
| Subjects | Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing Historical > FOR Classification > 1503 Business and Management Historical > FOR Classification > 1506 Tourism Current > Division/Research > College of Science and Engineering |
| Keywords | data mining; behavioural analysis; tourism management; tourists; consumer behaviour; outbound tourism; eWOM; electronic word of mouth |
| Citations in Scopus | 62 - View on Scopus |
| Download/View statistics | View download statistics for this item |
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