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

Rong, Jia, Vu, Huy Quan, Law, Rob and Li, Gang 2012, A behavioral analysis of web sharers and browsers in Hong Kong using targeted association rule mining, Tourism management, vol. 33, no. 4, pp. 731-740.

Attached Files
Name Description MIMEType Size Downloads

Title A behavioral analysis of web sharers and browsers in Hong Kong using targeted association rule mining
Author(s) Rong, Jia
Vu, Huy Quan
Law, Rob
Li, Gang
Journal name Tourism management
Volume number 33
Issue number 4
Start page 731
End page 740
Total pages 10
Publisher Pergamon
Place of publication Oxford, U. K.
Publication date 2012-08
ISSN 0261-5177
1879-3193
Keyword(s) sharers
browsers
electronic word-of-mouth
association rules
machine learning
data mining
Hong Kong
outbound tourism
Notes Available online 9th September 2011 as In Press article
Language eng
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 900302 Socio-Cultural Issues in Tourism
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2011, Elsevier Ltd.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30040588

Document type: Journal Article
Collection: School of Information Technology
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 8 times in TR Web of Science
Google Scholar Search Google Scholar
Access Statistics: 131 Abstract Views, 12 File Downloads  -  Detailed Statistics
Created: Mon, 05 Dec 2011, 12:49:21 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.