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Visualization Methods for Exploratory Subgroup Discovery on Time Series Data

Dan Hudson; Travis J. Wiltshire; Martin Atzmueller
In: Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence. Workshop on Affective Computing and Context Awareness in Ambient Intelligence (AfCAI-2022), located at 9th International Work-Conference on the Interplay between Natural and Artificial Computation (IWINAC2022), June 1, Puerto de la Cruz, Tenerife, Spain, Pages 34-44, Lecture Notes in Computer Science (LNCS), Vol. 13259, Springer, Cham, 5/2022.


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.

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