Scale and Time Independent Clustering of Time Series Data

Florian Steinwidder; Florian Steinwidder; Istvan Szilagyi; Eva Eggeling; Torsten Ullrich; Torsten Ullrich

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Paper

Scale and Time Independent Clustering of Time Series Data

Topics: Data Management and Knowledge Representation; Visual Analytics; Visual Data Analysis and Knowledge Discovery; Visual Representation and Interaction

In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1 GRAPP, HUCAPP and IVAPP: IVAPP, 583-592, 2024 , Rome, Italy

Authors: Florian Steinwidder ^{1

;

2} ; Istvan Szilagyi ³ ; Eva Eggeling ² and Torsten Ullrich ^{2

;

1}

Affiliations: ¹ Institute of Computer Graphics and Knowledge Visualization, Graz University of Technology, Graz, Austria ; ² Fraunhofer Austria Research GmbH, Graz, Austria ; ³ Medical University Graz, Graz, Austria

Keyword(s): Time Series Analysis, Cluster Analysis, Visualization Toolkits.

Abstract: The analysis of time series, and in particular the identification of similar time series within a large set of time series, is an important part of visual analytics. This paper describes extensions of tree-based index structures to find self-similarities within sets of time series. It also describes filters that extend existing algorithms to better fit real-world, error-prone, incomplete data. The ability of time series clustering to detect common errors in real data is also described. These main contributions are illustrated with real data and the findings and lessons learned are summarised.

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Paper citation in several formats:

Steinwidder, F.; Szilagyi, I.; Eggeling, E. and Ullrich, T. (2024). Scale and Time Independent Clustering of Time Series Data. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - IVAPP; ISBN 978-989-758-679-8; ISSN 2184-4321, SciTePress, pages 583-592. DOI: 10.5220/0012377000003660

@conference{ivapp24,
author={Florian Steinwidder. and Istvan Szilagyi. and Eva Eggeling. and Torsten Ullrich.},
title={Scale and Time Independent Clustering of Time Series Data},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - IVAPP},
year={2024},
pages={583-592},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012377000003660},
isbn={978-989-758-679-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - IVAPP
TI - Scale and Time Independent Clustering of Time Series Data
SN - 978-989-758-679-8
IS - 2184-4321
AU - Steinwidder, F.
AU - Szilagyi, I.
AU - Eggeling, E.
AU - Ullrich, T.
PY - 2024
SP - 583
EP - 592
DO - 10.5220/0012377000003660
PB - SciTePress