Analyzing international travelers' profile with self-organizing maps

Li, Gang, Law, Rob and Wang, Jinlong 2010, Analyzing international travelers' profile with self-organizing maps, Journal of travel & tourism marketing, vol. 27, no. 2, pp. 113-131.

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Title Analyzing international travelers' profile with self-organizing maps
Author(s) Li, Gang
Law, Rob
Wang, Jinlong
Journal name Journal of travel & tourism marketing
Volume number 27
Issue number 2
Start page 113
End page 131
Total pages 19
Publisher Routledge Taylor & Francis Group
Place of publication Philadelphia, Pa.
Publication date 2010-03
ISSN 1054-8408
1540-7306
Keyword(s) data mining
market segmentation
activity pattern analysis
Hong Kong
Summary It is generally agreed that knowledge is the most valuable asset to an organization. Knowledge enables a business to effectively compete with its competitors. In the tourism context, an in-depth knowledge of the profile of international travelers to a destination has become a crucial factor for decision makers to formulate their business strategies and better serve their customers. In this research, a self-organizing map (SOM) network was used for segmenting international travelers to Hong Kong, a major travel destination in Asia. An association rules discovery algorithm is then utilized to automatically characterize the profile of each segment. The resulting maps serve as a visual analysis tool for tourism managers to better understand the characteristics, motivations, and behaviors of international travelers.
Language eng
Field of Research 150604 Tourism Marketing
Socio Economic Objective 900301 Economic Issues in Tourism
HERDC Research category C1 Refereed article in a scholarly journal
HERDC collection year 2010
Copyright notice ©2010, Taylor & Francis Group, LLC
Persistent URL http://hdl.handle.net/10536/DRO/DU:30032944

Document type: Journal Article
Collection: School of Information Technology
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