Understanding Mindsets Across Markets, Internationally: A Public-private Innovation Project for Developing a Tourist Data Analytic Platform

Kristoffer Jon Albers, Mikkel N. Schmidt, Marisciel Litong-Palima, Morten Mørup, Rasmus Bonnevie, Fumiko Kano Glückstad

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


This paper presents an ongoing public-private innovation project that integrates unsupervised machine learning tools and a marketing theory, in order to analyze segment-based attitudes and behaviors of tourists. Our case study involving the major governmental tourism stakeholders emphasizes the importance of developing a user-friendly data analytic pipeline that carefully considers users' data collection procedure, easy access to the back-office computation algorithms, an interactive output data analysis workflow and its visualization. At the end of this paper, we present our vision to further develop a cloud-based tourist data collection platform.
Original languageEnglish
Title of host publicationProceedings of the 42nd IEEE Annual Computer Software and Applications Conference : COMPSAC 2018. Volume 2
EditorsSorel Reisman, Sheikh Iqbal Ahamed, Claudio Demartini, Thomas Conte, William Claycomb, Motonori Nakamura, Edmundo Tovar, Stelvio Cimato, Chung-Horng Lung, Hiroki Takakura, Ji-Jiang Yang, Toyokazu Akiyama, Zhiyong Zhang, Kamrul Hasan
Number of pages6
Place of PublicationLos Alamitos, CA
Publication date2018
Article number8377849
ISBN (Print)9781538626665
ISBN (Electronic)9781538626665
Publication statusPublished - 2018
Event42nd IEEE Annual Computer Software and Applications Conference: COMPSAC 2018 - Tokyo, Japan
Duration: 23 Jul 201827 Jul 2018
Conference number: 42


Conference42nd IEEE Annual Computer Software and Applications Conference
Internet address


  • Behavior prediction
  • Case study
  • Data visualization
  • Tourism data analysis
  • Unsupervised machine learning

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