Travel diaries analysis by sequential rule mining

Vu, Huy Quan, Li, Gang, Law, Rob and Zhang, Yanchun 2018, Travel diaries analysis by sequential rule mining, Journal of travel research, vol. 57, no. 3, pp. 399-413, doi: 10.1177/0047287517692446.

Attached Files
Name Description MIMEType Size Downloads

Title Travel diaries analysis by sequential rule mining
Author(s) Vu, Huy Quan
Li, GangORCID iD for Li, Gang orcid.org/0000-0003-1583-641X
Law, Rob
Zhang, Yanchun
Journal name Journal of travel research
Volume number 57
Issue number 3
Start page 399
End page 413
Total pages 15
Publisher SAGE Publications
Place of publication London, Eng.
Publication date 2018-03-01
ISSN 0047-2875
1552-6763
Keyword(s) data mining
geotagged photo
sequential rule mining
travel diary
Flickr
social sciences
hospitality, leisure, sport & tourism
movement patterns
foreign visitors
tracking data
big data
destination
tourists
behaviour
Language eng
DOI 10.1177/0047287517692446
Field of Research 1506 Tourism
1505 Marketing
1504 Commercial Services
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2017, The Authors
Persistent URL http://hdl.handle.net/10536/DRO/DU:30106266

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 3 times in TR Web of Science
Scopus Citation Count Cited 4 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 35 Abstract Views, 2 File Downloads  -  Detailed Statistics
Created: Fri, 22 Jun 2018, 15:23:43 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.