Paths of wellbeing on self-organizing maps

Krista Lagus; Tommi Vatanen; Oili Kettunen; Antti Heikkilä; Matti Heikkilä; Mika Pantzar; Timo Honkela

doi:10.1007/978-3-642-35230-0_35

Paths of wellbeing on self-organizing maps

Krista Lagus^*, Tommi Vatanen, Oili Kettunen, Antti Heikkilä, Matti Heikkilä, Mika Pantzar, Timo Honkela

^*Corresponding author for this work

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

5 Citations (Scopus)

Abstract

In this article, we introduce the concept of pathways of wellbeing and examine how such paths can be discovered from large data sets using the self-organizing map. Data sets used in the illustrative experiments include measurements of physical fitness and subjective assessments related to diagnosing work stress.

Original language	English
Title of host publication	Advances in Self-Organizing Maps - 9th International Workshop, WSOM 2012, Proceedings
Publisher	Springer
Pages	345-352
Number of pages	8
Volume	198 AISC
ISBN (Print)	9783642352294
DOIs	https://doi.org/10.1007/978-3-642-35230-0_35
Publication status	Published - 2013
MoE publication type	A4 Conference publication
Event	Workshop on Self-Organizing Maps - Santiago, Chile Duration: 12 Dec 2012 → 14 Dec 2012 Conference number: 9

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	198 AISC
ISSN (Print)	2194-5357

Workshop

Workshop	Workshop on Self-Organizing Maps
Abbreviated title	WSOM
Country/Territory	Chile
City	Santiago
Period	12/12/2012 → 14/12/2012

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10.1007/978-3-642-35230-0_35

Cite this

Lagus, K., Vatanen, T., Kettunen, O., Heikkilä, A., Heikkilä, M., Pantzar, M., & Honkela, T. (2013). Paths of wellbeing on self-organizing maps. In Advances in Self-Organizing Maps - 9th International Workshop, WSOM 2012, Proceedings (Vol. 198 AISC, pp. 345-352). (Advances in Intelligent Systems and Computing; Vol. 198 AISC). Springer. https://doi.org/10.1007/978-3-642-35230-0_35

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title = "Paths of wellbeing on self-organizing maps",

abstract = "In this article, we introduce the concept of pathways of wellbeing and examine how such paths can be discovered from large data sets using the self-organizing map. Data sets used in the illustrative experiments include measurements of physical fitness and subjective assessments related to diagnosing work stress.",

author = "Krista Lagus and Tommi Vatanen and Oili Kettunen and Antti Heikkil{\"a} and Matti Heikkil{\"a} and Mika Pantzar and Timo Honkela",

year = "2013",

doi = "10.1007/978-3-642-35230-0\_35",

language = "English",

isbn = "9783642352294",

volume = "198 AISC",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

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booktitle = "Advances in Self-Organizing Maps - 9th International Workshop, WSOM 2012, Proceedings",

address = "Germany",

note = "Workshop on Self-Organizing Maps, WSOM ; Conference date: 12-12-2012 Through 14-12-2012",

}

Lagus, K, Vatanen, T, Kettunen, O, Heikkilä, A, Heikkilä, M, Pantzar, M & Honkela, T 2013, Paths of wellbeing on self-organizing maps. in Advances in Self-Organizing Maps - 9th International Workshop, WSOM 2012, Proceedings. vol. 198 AISC, Advances in Intelligent Systems and Computing, vol. 198 AISC, Springer, pp. 345-352, Workshop on Self-Organizing Maps, Santiago, Chile, 12/12/2012. https://doi.org/10.1007/978-3-642-35230-0_35

Paths of wellbeing on self-organizing maps. / Lagus, Krista; Vatanen, Tommi; Kettunen, Oili et al.
Advances in Self-Organizing Maps - 9th International Workshop, WSOM 2012, Proceedings. Vol. 198 AISC Springer, 2013. p. 345-352 (Advances in Intelligent Systems and Computing; Vol. 198 AISC).

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

TY - GEN

T1 - Paths of wellbeing on self-organizing maps

AU - Lagus, Krista

AU - Vatanen, Tommi

AU - Kettunen, Oili

AU - Heikkilä, Antti

AU - Heikkilä, Matti

AU - Pantzar, Mika

AU - Honkela, Timo

N1 - Conference code: 9

PY - 2013

Y1 - 2013

N2 - In this article, we introduce the concept of pathways of wellbeing and examine how such paths can be discovered from large data sets using the self-organizing map. Data sets used in the illustrative experiments include measurements of physical fitness and subjective assessments related to diagnosing work stress.

AB - In this article, we introduce the concept of pathways of wellbeing and examine how such paths can be discovered from large data sets using the self-organizing map. Data sets used in the illustrative experiments include measurements of physical fitness and subjective assessments related to diagnosing work stress.

UR - https://www.scopus.com/pages/publications/84872260362

U2 - 10.1007/978-3-642-35230-0_35

DO - 10.1007/978-3-642-35230-0_35

M3 - Conference article in proceedings

AN - SCOPUS:84872260362

SN - 9783642352294

VL - 198 AISC

T3 - Advances in Intelligent Systems and Computing

SP - 345

EP - 352

BT - Advances in Self-Organizing Maps - 9th International Workshop, WSOM 2012, Proceedings

PB - Springer

T2 - Workshop on Self-Organizing Maps

Y2 - 12 December 2012 through 14 December 2012

ER -

Paths of wellbeing on self-organizing maps

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