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

Kristoffer Jon Albers; Mikkel Nørgaard Schmidt; Marisciel Litong-Palima; Morten Mørup; Rasmus Bonnevie; Fumiko Kano Glückstad

doi:10.1109/COMPSAC.2018.10221

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

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

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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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 language	English
Title of host publication	Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC)
Editors	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
Number of pages	6
Publisher	IEEE
Publication date	2018
Pages	159-164
ISBN (Print)	978-1-5386-2667-2
ISBN (Electronic)	978-1-5386-2666-5
DOIs	https://doi.org/10.1109/COMPSAC.2018.10221
Publication status	Published - 2018
Event	42nd Ieee Annual Computer Software and Applications Conference - Tokyo, Japan Duration: 23 Jul 2018 → 27 Jul 2018

Conference

Conference	42nd Ieee Annual Computer Software and Applications Conference
Country	Japan
City	Tokyo
Period	23/07/2018 → 27/07/2018

Keywords

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

Access to Document

10.1109/COMPSAC.2018.10221

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. R., S. I. A., C. D., T. C., W. C., M. N., E. T., S. C., C-H. L., H. T., J-J. Y., T. A., Z. Z., & K. H. (Eds.), Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC) (pp. 159-164). IEEE. https://doi.org/10.1109/COMPSAC.2018.10221

Albers, Kristoffer Jon ; Schmidt, Mikkel Nørgaard ; 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 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC). 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. IEEE, 2018. pp. 159-164

@inproceedings{bea180ada2d945b6b154b05dfb3b751a,

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

author = "Albers, {Kristoffer Jon} and Schmidt, {Mikkel N{\o}rgaard} and Marisciel Litong-Palima and Morten M{\o}rup and Rasmus Bonnevie and {Kano Gl{\"u}ckstad}, Fumiko",

year = "2018",

doi = "10.1109/COMPSAC.2018.10221",

language = "English",

isbn = "978-1-5386-2667-2",

pages = "159--164",

editor = "{Sorel Reisman} and {Sheikh Iqbal Ahamed} 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 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC)",

publisher = "IEEE",

address = "United States",

note = "42nd Ieee Annual Computer Software and Applications Conference, COMPSAC 2018 ; Conference date: 23-07-2018 Through 27-07-2018",

}

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 SR, SIA, CD, TC, WC, MN, ET, SC, C-HL, HT, J-JY, TA, ZZ & KH (eds), Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC). IEEE, pp. 159-164, 42nd Ieee Annual Computer Software and Applications Conference, 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 Nørgaard; Litong-Palima, Marisciel; Mørup, Morten; Bonnevie, Rasmus; Kano Glückstad, Fumiko.

Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC). 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. IEEE, 2018. p. 159-164.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Understanding Mindsets Across Markets, Internationally

T2 - 42nd Ieee Annual Computer Software and Applications Conference

AU - Albers, Kristoffer Jon

AU - Schmidt, Mikkel Nørgaard

AU - Litong-Palima, Marisciel

AU - Mørup, Morten

AU - Bonnevie, Rasmus

AU - Kano Glückstad, Fumiko

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 - Tourism data analysis

KW - Unsupervised machine learning

KW - Behavior prediction

KW - Data visualization

KW - Case study

U2 - 10.1109/COMPSAC.2018.10221

DO - 10.1109/COMPSAC.2018.10221

M3 - Article in proceedings

SN - 978-1-5386-2667-2

SP - 159

EP - 164

BT - Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC)

A2 - , Sorel Reisman

A2 - , Sheikh Iqbal Ahamed

A2 - , Claudio Demartini

A2 - , Thomas Conte

A2 - , William Claycomb

A2 - , Motonori Nakamura

A2 - , Edmundo Tovar

A2 - , Stelvio Cimato

A2 - , Chung-Horng Lung

A2 - , Hiroki Takakura

A2 - , Ji-Jiang Yang

A2 - , Toyokazu Akiyama

A2 - , Zhiyong Zhang

A2 - , Kamrul Hasan

PB - IEEE

Y2 - 23 July 2018 through 27 July 2018

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 SR, SIA, CD, TC, WC, MN, ET, SC, C-HL, HT, J-JY, TA, ZZ, KH, editors, Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC). IEEE. 2018. p. 159-164 https://doi.org/10.1109/COMPSAC.2018.10221