Combining the Automated Segmentation and Visual Analysis of Multivariate Time Series

Bernard, Jürgen; Bors, Christian; Bögl, Markus; Eichner, Christian; Gschwandtner, Theresia; Miksch, Silvia; Schumann, Heidrun; Kohlhammer, Jörn

doi:10.2312/eurova.20181112

Cited by 3 publications

(3 citation statements)

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“…As temporal/spatial data make up one column, different similarity metrics and sorting algorithms, for example, optimal leaf ordering [ HHB08 ], can be used to obtain an ordering. Spreadsheet‐based approaches have been mostly used with outputs and parameters [ LRE*12 , LRHS14 , RLK*15 , BBB*18 , EST20 ], but also with derived features from spatial data [ PZR15 ], or spatio‐temporal data [ LRB*15 ].…”

Section: Data Case Organizationmentioning

confidence: 99%

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Visual Parameter Space Exploration in Time and Space

Piccolotto

Bögl

Miksch

2023

Computer Graphics Forum

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Computational models, such as simulations, are central to a wide range of fields in science and industry. Those models take input parameters and produce some output. To fully exploit their utility, relations between parameters and outputs must be understood. These include, for example, which parameter setting produces the best result (optimization) or which ranges of parameter settings produce a wide variety of results (sensitivity). Such tasks are often difficult to achieve for various reasons, for example, the size of the parameter space, and supported with visual analytics. In this paper, we survey visual parameter space exploration (VPSE) systems involving spatial and temporal data. We focus on interactive visualizations and user interfaces. Through thematic analysis of the surveyed papers, we identify common workflow steps and approaches to support them. We also identify topics for future work that will help enable VPSE on a greater variety of computational models.

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Section: Data Case Organizationmentioning

confidence: 99%

“…The identified themes (Figure 1 ) describe parts of a VPSE workflow, which we illustrate with an example. Consider a time series segmentation model [ BBB*18 , EST20 ]. The model inputs are a multivariate time series, for example, motion sensor data, and some scalar parameters concerning the segmentation process.…”

Section: Introductionmentioning

confidence: 99%

Visual Parameter Space Exploration in Time and Space

Piccolotto

Bögl

Miksch

2023

Computer Graphics Forum

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“…For example, algorithms for activity detection rely on segmented time series from multiple sensors in order to draw conclusions about the activities of people. To generate segmented time series, the raw data are processed by a segmentation pipeline [Bernard et al, 2018]. After an appropriate data pre-processing, a segmentation algorithm divides the time axis into several segments.…”

Section: Time Series Segmentation and Parameter Space Analysismentioning

confidence: 99%

Multi-display Visual Analysis: Model, Interface, and Layout Computation

Eichner,

Schumann,

Tominski

2019

Preprint

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Modern display environments offer great potential for involving multiple users in presentations, discussions, and data analysis sessions. By showing multiple views on multiple displays, information exchange can be improved, several perspectives on the data can be combined, and different analysis strategies can be pursued.In this report, we describe concepts to support display composition, information distribution, and analysis coordination for visual data analysis in multi-display environments. In particular, a basic model for layout modeling is introduced, a graphical interface for interactive generation of the model is presented, and a layout mechanism is described that arranges multiple views on multiple displays automatically. Furthermore, approaches to meta-analysis will be discussed. The developed approaches are demonstrated in a use case that focuses on parameter space analysis for the segmentation of time series data.

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