A big-data analytics method for capturing visitor activities and flows: the case of an island country

Miah, Shah Jahan, Vu, HuyQuan and Gammack, John 2019, A big-data analytics method for capturing visitor activities and flows: the case of an island country, Information technology and management, vol. 20, no. 4, pp. 203-221, doi: 10.1007/s10799-019-00303-2.

Attached Files
Name Description MIMEType Size Downloads

Title A big-data analytics method for capturing visitor activities and flows: the case of an island country
Author(s) Miah, Shah Jahan
Vu, HuyQuan
Gammack, John
Journal name Information technology and management
Volume number 20
Issue number 4
Start page 203
End page 221
Total pages 19
Publisher Springer
Place of publication New York, N.Y.
Publication date 2019-12
ISSN 1385-951X
1573-7667
Keyword(s) Location fows
Data analytics
Smart city initiatives
Decision making
Big data
Language eng
DOI 10.1007/s10799-019-00303-2
Indigenous content off
Field of Research 080605 Decision Support and Group Support Systems
0806 Information Systems
Socio Economic Objective 899999 Information and Communication Services not elsewhere classified
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2019, Springer Science+Business Media
Persistent URL http://hdl.handle.net/10536/DRO/DU:30124990

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 3 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 151 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Tue, 09 Jul 2019, 11:58:14 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.