Visualization Methods for Exploratory Subgroup Discovery on Time Series Data

Dan Hudson; Travis Wiltshire; Martin Atzmueller

Visualization Methods for Exploratory Subgroup Discovery on Time Series Data

Dan Hudson
, Travis Wiltshire
, Martin Atzmueller

Data Analytics

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

Abstract

This paper presents visualization methods for exploratory subgroup discovery, focusing on numeric time series data. We provide four novel visualizations for the inspection and understanding of subgroups. These visualizations facilitate interpretation in order to get insights into the data and the respective subgroups, while also supporting statistical interpretation and assessment of the subgroups and their respective parameters. Furthermore, we illustrate the approach in the context of complex time series data – specifically on team interactions in the affective computing context.

Original language	English
Title of host publication	Bio-inspired Systems and Applications:
Subtitle of host publication	From Robotics to Ambient Intelligence
Editors	José Manuel Ferrández Vicente, José Ramón Álvarez-Sánchez, Félix de la Paz López, Hojjat Adeli
Publisher	Springer Cham
Pages	34-44
Number of pages	11
Volume	13259
ISBN (Electronic)	978-3-031-06527-9
ISBN (Print)	978-3-031-06526-2
Publication status	Published - 2022

Publication series

Name	Lecture Notes in Computer Science(LNCS)
Publisher	Springer Cham
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Keywords

Visualization
Subgroup Discovery
Time Series Data

Access to Document

https://doi.org/10.1007/978-3-031-06527-9_4Licence: CC BY-ND

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Hudson, D., Wiltshire, T., & Atzmueller, M. (2022). Visualization Methods for Exploratory Subgroup Discovery on Time Series Data. In J. M. Ferrández Vicente, J. Ramón Álvarez-Sánchez, F. de la Paz López, & H. Adeli (Eds.), Bio-inspired Systems and Applications: From Robotics to Ambient Intelligence (Vol. 13259, pp. 34-44). (Lecture Notes in Computer Science(LNCS)). Springer Cham. https://doi.org/10.1007/978-3-031-06527-9_4

Hudson, Dan ; Wiltshire, Travis ; Atzmueller, Martin. / Visualization Methods for Exploratory Subgroup Discovery on Time Series Data. Bio-inspired Systems and Applications: From Robotics to Ambient Intelligence. editor / José Manuel Ferrández Vicente ; José Ramón Álvarez-Sánchez ; Félix de la Paz López ; Hojjat Adeli. Vol. 13259 Springer Cham, 2022. pp. 34-44 (Lecture Notes in Computer Science(LNCS)).

@inproceedings{c2a00d240f0345948d6fe007132bd87e,

title = "Visualization Methods for Exploratory Subgroup Discovery on Time Series Data",

abstract = "This paper presents visualization methods for exploratory subgroup discovery, focusing on numeric time series data. We provide four novel visualizations for the inspection and understanding of subgroups. These visualizations facilitate interpretation in order to get insights into the data and the respective subgroups, while also supporting statistical interpretation and assessment of the subgroups and their respective parameters. Furthermore, we illustrate the approach in the context of complex time series data – specifically on team interactions in the affective computing context.",

keywords = "Visualization, Subgroup Discovery, Time Series Data",

author = "Dan Hudson and Travis Wiltshire and Martin Atzmueller",

year = "2022",

language = "English",

isbn = "978-3-031-06526-2",

volume = "13259",

series = "Lecture Notes in Computer Science(LNCS)",

publisher = "Springer Cham",

pages = "34--44",

editor = "\{Ferr{\'a}ndez Vicente\}, \{ Jos{\'e} Manuel \} and \{Ram{\'o}n {\'A}lvarez-S{\'a}nchez\}, \{ Jos{\'e} \} and \{de la Paz L{\'o}pez\}, \{ F{\'e}lix \} and Adeli, \{Hojjat \}",

booktitle = "Bio-inspired Systems and Applications:",

}

Hudson, D, Wiltshire, T & Atzmueller, M 2022, Visualization Methods for Exploratory Subgroup Discovery on Time Series Data. in JM Ferrández Vicente, J Ramón Álvarez-Sánchez, F de la Paz López & H Adeli (eds), Bio-inspired Systems and Applications: From Robotics to Ambient Intelligence. vol. 13259, Lecture Notes in Computer Science(LNCS), Springer Cham, pp. 34-44. <https://doi.org/10.1007/978-3-031-06527-9_4>

Visualization Methods for Exploratory Subgroup Discovery on Time Series Data. / Hudson, Dan; Wiltshire, Travis; Atzmueller, Martin.
Bio-inspired Systems and Applications: From Robotics to Ambient Intelligence. ed. / José Manuel Ferrández Vicente; José Ramón Álvarez-Sánchez; Félix de la Paz López; Hojjat Adeli. Vol. 13259 Springer Cham, 2022. p. 34-44 (Lecture Notes in Computer Science(LNCS)).

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

TY - GEN

T1 - Visualization Methods for Exploratory Subgroup Discovery on Time Series Data

AU - Hudson, Dan

AU - Wiltshire, Travis

AU - Atzmueller, Martin

PY - 2022

Y1 - 2022

N2 - This paper presents visualization methods for exploratory subgroup discovery, focusing on numeric time series data. We provide four novel visualizations for the inspection and understanding of subgroups. These visualizations facilitate interpretation in order to get insights into the data and the respective subgroups, while also supporting statistical interpretation and assessment of the subgroups and their respective parameters. Furthermore, we illustrate the approach in the context of complex time series data – specifically on team interactions in the affective computing context.

AB - This paper presents visualization methods for exploratory subgroup discovery, focusing on numeric time series data. We provide four novel visualizations for the inspection and understanding of subgroups. These visualizations facilitate interpretation in order to get insights into the data and the respective subgroups, while also supporting statistical interpretation and assessment of the subgroups and their respective parameters. Furthermore, we illustrate the approach in the context of complex time series data – specifically on team interactions in the affective computing context.

KW - Visualization

KW - Subgroup Discovery

KW - Time Series Data

M3 - Conference contribution

SN - 978-3-031-06526-2

VL - 13259

T3 - Lecture Notes in Computer Science(LNCS)

SP - 34

EP - 44

BT - Bio-inspired Systems and Applications:

A2 - Ferrández Vicente, José Manuel

A2 - Ramón Álvarez-Sánchez, José

A2 - de la Paz López, Félix

A2 - Adeli, Hojjat

PB - Springer Cham

ER -

Hudson D, Wiltshire T, Atzmueller M. Visualization Methods for Exploratory Subgroup Discovery on Time Series Data. In Ferrández Vicente JM, Ramón Álvarez-Sánchez J, de la Paz López F, Adeli H, editors, Bio-inspired Systems and Applications: From Robotics to Ambient Intelligence. Vol. 13259. Springer Cham. 2022. p. 34-44. (Lecture Notes in Computer Science(LNCS)).

Visualization Methods for Exploratory Subgroup Discovery on Time Series Data

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