Identifying changes and trends in Hong Kong outbound tourism Law, Rob, Rong, Jia, Vu, Huy Quan, Li, Gang and Lee, Hee Andy 2011, Identifying changes and trends in Hong Kong outbound tourism, Tourism management, vol. 32, no. 5, pp. 1106-1114, doi: 10.1016/j.tourman.2010.09.011. Attached Files Name Description MIMEType Size Downloads Title Identifying changes and trends in Hong Kong outbound tourism Author(s) Law, Rob Rong, Jia Vu, Huy Quan Li, Gang orcid.org/0000-0003-1583-641X Lee, Hee Andy Journal name Tourism management Volume number 32 Issue number 5 Start page 1106 End page 1114 Total pages 9 Publisher Pergamon Place of publication Oxford, England Publication date 2011-10 ISSN 0261-5177 1879-3193 Keyword(s) contrast analysis association rules machine learning data mining hong kong outbound tourism Summary Despite the numerous research endeavors aimed at investigating tourists' preferences and motivations, it remains very difficult for practitioners to utilize the results of traditional association rule mining methods in tourism management. This research presents a new approach that extends the capability of the association rules technique to contrast targeted association rules with the aim of capturing the changes and trends in outbound tourism. Using datasets collected from five large-scale domestic tourism surveys of Hong Kong residents on outbound pleasure travel, both positive and negative contrasts are identified, thus enabling practitioners and policymakers to make appropriate decisions and develop more appropriate tourism products. Notes Now published. Available online 6 October 2010. Language eng DOI 10.1016/j.tourman.2010.09.011 Field of Research 080109 Pattern Recognition and Data Mining 150603 Tourism Management Socio Economic Objective 900302 Socio-Cultural Issues in Tourism HERDC Research category C1 Refereed article in a scholarly journal HERDC collection year 2011 Copyright notice ©2010, Elsevier Ltd. All rights reserved. Persistent URL http://hdl.handle.net/10536/DRO/DU:30033028 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology 2018 ERA Submission Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Fri, 25 Feb 2011, 11:24:29 EST Fri, 25 Feb 2011, 11:26:47 EST Mon, 28 Feb 2011, 16:17:49 EST Tue, 08 Mar 2011, 10:39:04 EST Thu, 17 Mar 2011, 16:03:27 EST Thu, 17 Mar 2011, 16:05:26 EST Wed, 24 Aug 2011, 17:06:46 EST Wed, 25 Jan 2012, 10:32:21 EST Wed, 25 Jan 2012, 12:54:24 EST Wed, 25 Jan 2012, 12:55:58 EST Wed, 25 Jan 2012, 12:58:15 EST Wed, 25 Jan 2012, 14:42:21 EST Mon, 16 Jun 2014, 17:26:22 EST Fri, 17 Oct 2014, 10:39:49 EST Fri, 06 Feb 2015, 10:42:55 EST Filtered Full Citation counts:   Cited 37 times in TR Web of Science Cited 39 times in Scopus Search Google Scholar Access Statistics: 1225 Abstract Views, 14 File Downloads  -  Detailed Statistics Created: Fri, 25 Feb 2011, 11:24:23 EST by Sandra Dunoon