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

Full text for this resource is not available from the Research Repository.

Rong, Jia ORCID: 0000-0002-9462-3924 (external link), Vu, Huy Quan ORCID: 0000-0003-1947-2879 (external link), 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

Altmetric Badge

Item type Article
URI https://vuir.vu.edu.au/id/eprint/32422
DOI 10.1016/j.tourman.2011.08.006 (external link)
Official URL http://www.sciencedirect.com/science/article/pii/S... (external link)
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 (external link)
Download/View statistics View download statistics for this item

Search Google Scholar (external link)

Repository staff login