Towards Natural Language Empowered Interactive Data Analysis

tracking systems exists that fulfills our complex requirements to track interactive scientific visual analysis workflows with multiple applications and users.. Therefore, we

In order to facilitate the process of training a stance classifier, we propose a visual analytics approach called ALVA for text data annotation and visualization.. Our approach

We propose a Visual Analytics (VA) approach to address these challenges in the scope of human motion capture data, a special type of multivariate time series data.. In our

Visualization and Visual Computing use computer-supported, interactive, visual representations of (ab- stract) data to amplify cognition. In recent years data complexity and

These approaches contribute towards the interactive exploration, visual analysis and understanding of the involved data and processes at different steps of the radiotherapy

In the classical model of visual analytics proposed by Daniel Keim (cf. Figure 2), the user applies interactive visualization and data mining to build, verify and refine a data

Based on these observations, we designed methods that support neuroscientists by integrating their existing statistical analysis of multivariate subject data with interactive

This view (Fig. 5.5) is dedicated to the data exploration and allows the user to explore multiple variables with respect to the time frames given by the survival plot.. As the