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

Abstract

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 Alamos, CA
PublisherIEEE
Publication date2018
Pages159-164
Article number8377849
ISBN (Print)9781538626665
ISBN (Electronic)9781538626665
DOIs
Publication statusPublished - 2018
Event42nd IEEE Annual Computer Software and Applications Conference: COMPSAC 2018 - Tokyo, Japan
Duration: 23 Jul 201827 Jul 2018
Conference number: 42
https://ieeecompsac.computer.org/2018/

Conference

Conference42nd IEEE Annual Computer Software and Applications Conference
Number42
CountryJapan
CityTokyo
Period23/07/201827/07/2018
Internet address

Bibliographical note

CBS Library does not have access to the material

Keywords

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

Cite this

Albers, K. J., Schmidt, M. N., Litong-Palima, M., Mørup, M., Bonnevie, R., & Kano Glückstad, F. (2018). Understanding Mindsets Across Markets, Internationally: A Public-private Innovation Project for Developing a Tourist Data Analytic Platform. In S. Reisman, S. I. Ahamed, C. Demartini, T. Conte, W. Claycomb, M. Nakamura, E. Tovar, S. Cimato, C-H. Lung, H. Takakura, J-J. Yang, T. Akiyama, Z. Zhang, ... K. Hasan (Eds.), Proceedings of the 42nd IEEE Annual Computer Software and Applications Conference: COMPSAC 2018. Volume 2 (pp. 159-164). [8377849] Los Alamos, CA: IEEE. https://doi.org/10.1109/COMPSAC.2018.10221
Albers, Kristoffer Jon ; Schmidt, Mikkel N. ; Litong-Palima, Marisciel ; Mørup, Morten ; Bonnevie, Rasmus ; Kano Glückstad, Fumiko . / Understanding Mindsets Across Markets, Internationally : A Public-private Innovation Project for Developing a Tourist Data Analytic Platform. Proceedings of the 42nd IEEE Annual Computer Software and Applications Conference: COMPSAC 2018. Volume 2. editor / Sorel 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. Los Alamos, CA : IEEE, 2018. pp. 159-164
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title = "Understanding Mindsets Across Markets, Internationally: A Public-private Innovation Project for Developing a Tourist Data Analytic Platform",
abstract = "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.",
keywords = "Behavior prediction, Case study, Data visualization, Tourism data analysis, Unsupervised machine learning",
author = "Albers, {Kristoffer Jon} and Schmidt, {Mikkel N.} and Marisciel Litong-Palima and Morten M{\o}rup and Rasmus Bonnevie and {Kano Gl{\"u}ckstad}, Fumiko",
note = "CBS Library does not have access to the material",
year = "2018",
doi = "10.1109/COMPSAC.2018.10221",
language = "English",
isbn = "9781538626665",
pages = "159--164",
editor = "Sorel Reisman and Ahamed, {Sheikh Iqbal} and Claudio Demartini and Thomas Conte and William Claycomb and Motonori Nakamura and Edmundo Tovar and Stelvio Cimato and Chung-Horng Lung and Hiroki Takakura and Ji-Jiang Yang and Toyokazu Akiyama and Zhiyong Zhang and Kamrul Hasan",
booktitle = "Proceedings of the 42nd IEEE Annual Computer Software and Applications Conference",
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Albers, KJ, Schmidt, MN, Litong-Palima, M, Mørup, M, Bonnevie, R & Kano Glückstad, F 2018, Understanding Mindsets Across Markets, Internationally: A Public-private Innovation Project for Developing a Tourist Data Analytic Platform. in S Reisman, SI Ahamed, C Demartini, T Conte, W Claycomb, M Nakamura, E Tovar, S Cimato, C-H Lung, H Takakura, J-J Yang, T Akiyama, Z Zhang & K Hasan (eds), Proceedings of the 42nd IEEE Annual Computer Software and Applications Conference: COMPSAC 2018. Volume 2., 8377849, IEEE, Los Alamos, CA, pp. 159-164, Tokyo, Japan, 23/07/2018. https://doi.org/10.1109/COMPSAC.2018.10221

Understanding Mindsets Across Markets, Internationally : A Public-private Innovation Project for Developing a Tourist Data Analytic Platform. / Albers, Kristoffer Jon; Schmidt, Mikkel N.; Litong-Palima, Marisciel; Mørup, Morten; Bonnevie, Rasmus; Kano Glückstad, Fumiko .

Proceedings of the 42nd IEEE Annual Computer Software and Applications Conference: COMPSAC 2018. Volume 2. ed. / Sorel 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. Los Alamos, CA : IEEE, 2018. p. 159-164 8377849.

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

TY - GEN

T1 - Understanding Mindsets Across Markets, Internationally

T2 - A Public-private Innovation Project for Developing a Tourist Data Analytic Platform

AU - Albers, Kristoffer Jon

AU - Schmidt, Mikkel N.

AU - Litong-Palima, Marisciel

AU - Mørup, Morten

AU - Bonnevie, Rasmus

AU - Kano Glückstad, Fumiko

N1 - CBS Library does not have access to the material

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - Behavior prediction

KW - Case study

KW - Data visualization

KW - Tourism data analysis

KW - Unsupervised machine learning

U2 - 10.1109/COMPSAC.2018.10221

DO - 10.1109/COMPSAC.2018.10221

M3 - Article in proceedings

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BT - Proceedings of the 42nd IEEE Annual Computer Software and Applications Conference

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A2 - Ahamed, Sheikh Iqbal

A2 - Demartini, Claudio

A2 - Conte, Thomas

A2 - Claycomb, William

A2 - Nakamura, Motonori

A2 - Tovar, Edmundo

A2 - Cimato, Stelvio

A2 - Lung, Chung-Horng

A2 - Takakura, Hiroki

A2 - Yang, Ji-Jiang

A2 - Akiyama, Toyokazu

A2 - Zhang, Zhiyong

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PB - IEEE

CY - Los Alamos, CA

ER -

Albers KJ, Schmidt MN, Litong-Palima M, Mørup M, Bonnevie R, Kano Glückstad F. Understanding Mindsets Across Markets, Internationally: A Public-private Innovation Project for Developing a Tourist Data Analytic Platform. In Reisman S, Ahamed SI, Demartini C, Conte T, Claycomb W, Nakamura M, Tovar E, Cimato S, Lung C-H, Takakura H, Yang J-J, Akiyama T, Zhang Z, Hasan K, editors, Proceedings of the 42nd IEEE Annual Computer Software and Applications Conference: COMPSAC 2018. Volume 2. Los Alamos, CA: IEEE. 2018. p. 159-164. 8377849 https://doi.org/10.1109/COMPSAC.2018.10221