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

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedings – Annual report year: 2018Researchpeer-review

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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 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC)
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
Publication date2018
ISBN (Print)978-1-5386-2667-2
ISBN (Electronic)978-1-5386-2666-5
Publication statusPublished - 2018
Event42nd Ieee Annual Computer Software and Applications Conference - Tokyo, Japan
Duration: 23 Jul 201827 Jul 2018


Conference42nd Ieee Annual Computer Software and Applications Conference
CitationsWeb of Science® Times Cited: No match on DOI

    Research areas

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

ID: 151365899