Conference paper
Understanding Mindsets Across Markets, Internationally: A Public-private Innovation Project for Developing a Tourist Data Analytic Platform
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.
Language: | English |
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Publisher: | IEEE |
Year: | 2018 |
Pages: | 159-164 |
Proceedings: | 2018 IEEE 42nd Annual Computer Software and Applications Conference |
ISBN: | 1538626667 , 1538626675 , 9781538626665 and 9781538626672 |
ISSN: | 07303157 |
Types: | Conference paper |
DOI: | 10.1109/COMPSAC.2018.10221 |
ORCIDs: | Albers, Kristoffer Jon , Schmidt, Mikkel Nørgaard and Mørup, Morten |
Behavior prediction Case study Data visualization Tourism data analysis Unsupervised machine learning
Computer science Data analysis Data collection Mathematics Stakeholders Tools back-office computation algorithms behavior prediction case study cloud computing cloud-based tourist data collection platform data analysis data visualization interactive output data analysis workflow marketing data processing marketing theory public-private innovation project segment-based attitudes analysis tourist behaviors tourist data analytic platform travel industry unsupervised learning unsupervised machine learning unsupervised machine learning tools user-friendly data analytic pipeline