Title |
Visualization Methods for Exploratory Subgroup Discovery on Time Series Data |
ID_Doc |
12776 |
Authors |
Hudson, D; Wiltshire, TJ; Atzmueller, M |
Title |
Visualization Methods for Exploratory Subgroup Discovery on Time Series Data |
Year |
2022 |
Published |
|
DOI |
10.1007/978-3-031-06527-9_4 |
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. |
Author Keywords |
Visualization; Subgroup Discovery; Time Series Data |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
EID |
WOS:000874447200004 |
WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Cybernetics; Computer Science, Theory & Methods |
Research Area |
Computer Science |
PDF |
|