Timing errors and temporal uncertainty in clinical databases—A narrative review

AJ Goodwin, D Eytan, W Dixon… - Frontiers in Digital …, 2022 - frontiersin.org
A firm concept of time is essential for establishing causality in a clinical setting. Review of
critical incidents and generation of study hypotheses require a robust understanding of the …

Uncertainty-aware visual analytics: scope, opportunities, and challenges

RGC Maack, G Scheuermann, H Hagen… - The Visual …, 2023 - Springer
In many applications, visual analytics (VA) has developed into a standard tool to ease data
access and knowledge generation. VA describes a holistic cycle transforming data into …

Visual‐interactive preprocessing of multivariate time series data

J Bernard, M Hutter, H Reinemuth… - Computer Graphics …, 2019 - Wiley Online Library
Pre‐processing is a prerequisite to conduct effective and efficient downstream data analysis.
Pre‐processing pipelines often require multiple routines to address data quality challenges …

IVESA-Visual Analysis of Time-Stamped Event Sequences

J Bernard, CM Barth, E Cuba, A Meier… - … on Visualization and …, 2024 - ieeexplore.ieee.org
Time-stamped event sequences (TSEQs) are time-oriented data without value information,
shifting the focus of users to the exploration of temporal event occurrences. TSEQs exist in …

A workflow to systematically design uncertainty-aware visual analytics applications

RGC Maack, F Raith, JF Pérez, G Scheuermann… - The Visual …, 2024 - Springer
Visual analytics (VA) is a paradigm for insight generation by using visual analysis
techniques and automated reasoning by transforming data into hypotheses and …

Computational Analysis Support

W Aigner, S Miksch, H Schumann… - Visualization of Time …, 2023 - Springer
Computational Analysis Support Page 1 Chapter 6 Computational Analysis Support It is useful
to think of the human and the computer together as a single cognitive entity, with the computer …

[PDF][PDF] Exploring Time Series Segmentations Using Uncertainty and Focus+ Context Techniques.

C Bors, C Eichner, S Miksch, C Tominski… - EuroVis (Short …, 2020 - diglib.eg.org
Time series segmentation is employed in various domains and continues to be a relevant
topic of research. A segmentation pipeline is composed of different steps involving several …

Visual analysis of periodic time series data: supporting model selection, prediction, imputation, and outlier detection using visual analytics

M Bögl - 2020 - repositum.tuwien.at
Time series data are essential in many fields, like economics, natural sciences, and
medicine, to name a few. Measuring and recording these data allow us to document …