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Contingency Wheel: Visual Analysis of Large Contingency Tables
(The Eurographics Association, 2011)
We present the Contingency Wheel, a visual method for finding and analyzing associations in a large nxm contingency table with m less than 100 and n being two to three orders of magnitude larger than m. The method is ...
Integrating Predictions in Time Series Model Selection
(The Eurographics Association, 2015)
Time series appear in many different domains. The main goal in time series analysis is to find a model for given time series. The selection of time series models is done iteratively based, usually, on information criteria ...
Developing an Extended Task Framework for Exploratory Data Analysis Along the Structure of Time
(The Eurographics Association, 2012)
Exploratory data analysis of time-oriented data is an important goal that Visual Analytics has to tackle. When users from real-world domains are asked about time-oriented tasks, they often refer to the unique structure of ...
Guidance or No Guidance? A Decision Tree Can Help
(The Eurographics Association, 2018)
Guidance methods have the potential of bringing considerable benefits to Visual Analytics (VA), alleviating the burden on the user and allowing a positive analysis outcome. However, the boundary between conventional VA ...
Exploration and Assessment of Event Data
(The Eurographics Association, 2015)
Event data is generated in many domains, like business process management, industry or healthcare. These datasets are often unstructured, exhibit variant behaviour, and may contain errors. Before applying automated analysis ...
Gnaeus: Utilizing Clinical Guidelines for Knowledge-assisted Visualisation of EHR Cohorts
(The Eurographics Association, 2015)
The advanced visualization of electronic health records (EHRs), supporting a scalable analysis from single patients to cohorts, intertwining patients' conditions with executed treatments, and handling the complexity of ...
Does Jason Bourne need Visual Analytics to catch the Jackal?
(The Eurographics Association, 2010)
Visual Analytics is a relatively new field which tries to combine and intertwine visual and analytical methods in an interactive manner. Because of the complex structure of time, the application of visual analytics methods ...
A Visual Analytics Approach to Segmenting and Labeling Multivariate Time Series Data
(The Eurographics Association, 2014)
Many natural and industrial processes such as oil well construction are composed of a sequence of recurring activities. Such processes can often be monitored via multiple sensors that record physical measurements over time. ...
Visual Analytics for Multitemporal Aerial Image Georeferencing
(The Eurographics Association, 2017)
Georeferencing of multitemporal aerial imagery is a time-consuming and challenging task that typically requires a high degree of human intervention, and which appears in application domains of critical importance, like ...
Multi-Ensemble Visual Analytics via Fuzzy Sets
(The Eurographics Association, 2023)
Analysis of ensemble datasets, i.e., collections of complex elements such as geochemical maps, is widespread in science and industry. The elements' complexity arises from the data they capture, which are often multivariate ...