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

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 N. Schmidt, Marisciel Litong-Palima, Morten Mørup, Rasmus Bonnevie, Fumiko Kano Glückstad

Department of Management, Society and Communication

Danmarks Tekniske Universitet

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer 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.

Originalsprog	Engelsk
Titel	Proceedings of the 42nd IEEE Annual Computer Software and Applications Conference : COMPSAC 2018. Volume 2
Redaktører	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
Antal sider	6
Udgivelsessted	Los Alamitos, CA
Forlag	IEEE
Publikationsdato	2018
Sider	159-164
Artikelnummer	8377849
ISBN (Trykt)	9781538626665
ISBN (Elektronisk)	9781538626665
DOI	https://doi.org/10.1109/COMPSAC.2018.10221
Status	Udgivet - 2018
Begivenhed	42nd IEEE Annual Computer Software and Applications Conference: COMPSAC 2018 - Tokyo, Japan Varighed: 23 jul. 2018 → 27 jul. 2018 Konferencens nummer: 42 https://ieeecompsac.computer.org/2018/

Konference

Konference	42nd IEEE Annual Computer Software and Applications Conference
Nummer	42
Land/Område	Japan
By	Tokyo
Periode	23/07/2018 → 27/07/2018
Internetadresse	https://ieeecompsac.computer.org/2018/

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10.1109/COMPSAC.2018.10221Licens: Ikke-specificeret

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Citationsformater

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. I 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 (red.), Proceedings of the 42nd IEEE Annual Computer Software and Applications Conference: COMPSAC 2018. Volume 2 (s. 159-164). Artikel 8377849 IEEE. https://doi.org/10.1109/COMPSAC.2018.10221

Albers, Kristoffer Jon ; Schmidt, Mikkel N. ; Litong-Palima, Marisciel et al. / 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. red. / 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 Alamitos, CA : IEEE, 2018. s. 159-164

@inproceedings{a5fe49c46216446f8afb86802cdceba6,

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",

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",

publisher = "IEEE",

address = "United States",

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

url = "https://ieeecompsac.computer.org/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. i 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 (red), Proceedings of the 42nd IEEE Annual Computer Software and Applications Conference: COMPSAC 2018. Volume 2., 8377849, IEEE, Los Alamitos, CA, s. 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 N.; Litong-Palima, Marisciel et al.
Proceedings of the 42nd IEEE Annual Computer Software and Applications Conference: COMPSAC 2018. Volume 2. red. / 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 Alamitos, CA: IEEE, 2018. s. 159-164 8377849.

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › 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 N.

AU - Litong-Palima, Marisciel

AU - Mørup, Morten

AU - Bonnevie, Rasmus

AU - Kano Glückstad, Fumiko

N1 - Conference code: 42

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

SN - 9781538626665

SP - 159

EP - 164

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

A2 - Reisman, Sorel

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

A2 - Hasan, Kamrul

PB - IEEE

CY - Los Alamitos, CA

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. I Reisman S, Ahamed SI, Demartini C, Conte T, Claycomb W, Nakamura M, Tovar E, Cimato S, Lung CH, Takakura H, Yang JJ, Akiyama T, Zhang Z, Hasan K, red., Proceedings of the 42nd IEEE Annual Computer Software and Applications Conference: COMPSAC 2018. Volume 2. Los Alamitos, CA: IEEE. 2018. s. 159-164. 8377849 doi: 10.1109/COMPSAC.2018.10221