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Volumn 33, Issue 4, 2012, Pages 731-740

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

Author keywords

Association rules; Browsers; Data mining; Electronic word of mouth; Hong Kong; Machine learning; Outbound tourism; Sharers

Indexed keywords

COMMUNICATION NETWORK; CONSUMPTION BEHAVIOR; DATA MINING; DATA SET; DECISION MAKING; LEARNING; LEISURE INDUSTRY; PREFERENCE BEHAVIOR; TOURISM MANAGEMENT; TOURISM MARKET; WORLD WIDE WEB;

EID: 84856494752     PISSN: None     EISSN: 02615177     Source Type: Journal    
DOI: 10.1016/j.tourman.2011.08.006     Document Type: Article
Times cited : (69)

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