Cagliari, Italy, May 25-26, 2015
Supporting Historical Research Through User-Centered Visual Analytics
Inspector Gadget: Integrating Data Preprocessing and Orchestration in the Visual Analysis Loop
High-dimensional Data and the Design Process
Visual Scaffolding in Integrated Spatial and Nonspatial Analysis
Interactive Image Feature Selection Aided by Dimensionality Reduction
The Use of High-Dimensional Visualizations in Explaining Hospital Pricing Patterns
Attribute-based Visual Explanation of Multidimensional Projections
Textual, Spatial and Uncertain Data
Visual-Interactive Text Analysis to Support Political Decision Making - From Sentiments to Arguments to Policies
Trajectory-based Visual Analytics for Anomalous Human Movement Analysis using Social Media
Integrated Spatial Uncertainty Visualization using Off-screen Aggregation
Visual Analytics and Uncertainty: Its Not About the Data
Time-series and Temporal Data
Visual Analysis of Relations in Attributed Time-Series Data
Exploration and Assessment of Event Data
Integrating Predictions in Time Series Model Selection
Gnaeus: Utilizing Clinical Guidelines for Knowledge-assisted Visualisation of EHR Cohorts
(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 ...
(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 ...
(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 ...
(The Eurographics Association, 2015)Uncertainty visualization research has a long history, with contributions from scientific, information, geo-graphic and other visualization perspectives as well as from cognitive and HCI perspectives. But we still do not ...
(The Eurographics Association, 2015)In this paper, we present visual-interactive techniques for revealing relations between two co-existing multivariate feature spaces. Such data is generated, for example, by sensor networks characterized by a set of ...
(The Eurographics Association, 2015)The rapid development and increasing availability of mobile communication and location acquisition technologies allow people to add location data to existing social networks so that people share location-embedded information. ...
(The Eurographics Association, 2015)Visualization of spatial data uncertainties is crucial to the data understanding and exploration process. Scientific measurements, numerical simulations, and user generated content are error prone sources that gravely ...
Visual-Interactive Text Analysis to Support Political Decision Making - From Sentiments to Arguments to Policies (The Eurographics Association, 2015)Political decision making involves the evaluation of alternative solutions (so called policy models) to a given societal problem and the selection of the most promising one. Large amounts of textual information to be ...
(The Eurographics Association, 2015)The Centers for Medicare and Medicaid Services (CMS) has made public a data set showing what hospitals charged and what Medicare paid for the one hundred most common inpatient stays. By law payments approximate a hospital's ...
(The Eurographics Association, 2015)Multidimensional projections (MPs) are key tools for the analysis of multidimensional data. MPs reduce data dimensionality while keeping the original distance structure in the low-dimensional output space, typically shown ...
(The Eurographics Association, 2015)Collaborative visual analytics that feature mixtures of spatial and nonspatial data occur across disciplines, and are particularly common in bioinformatics, neuroscience and geospatial analysis. In this work we analyze, ...
(The Eurographics Association, 2015)Feature selection is an important step in designing image classification systems. While many automatic feature selection methods exist, most of them are opaque to their users. We consider that users should be able to gain ...
(The Eurographics Association, 2015)Nowadays, tracking devices are small and cheap. For analysis tasks, there is no problem to obtain sufficient amounts of data. The challenge is how to make sense of the data, which often contain complex situations. Multiple ...
(The Eurographics Association, 2015)In this paper we describe the development and evaluation of a visual analytics tool to support historical research. Historians continuously gather data related to their scholarly research from archival visits and background ...
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