Visual analytics for concept exploration in subspaces of patient groups

A Visual Analytics System for Cluster Exploration

This paper offers a new way of representing the results of automatic clustering algorithms by employing a Visual Analytics system which maps members of a cluster and their distance to each other onto a twodimensional space. A case study on Urdu complex predicates shows that the system allows for an appropriate investigation of linguistically motivated data.

SparQs: Visual Analytics for Sparking Creativity in Social Media Exploration

Social media has become a fruitful platform on which to study human behavior and social phenomena. However, social media data are usually messy, disorganized, and noisy, which makes finding patterns in such data a challenging task. Visualization can help with the exploration of such massive data. Researchers studying social media often begin by reviewing related research. In this paper, we cons...

Big data exploration through visual analytics

SAS Visual Analytics Explorer is an advanced data visualization and exploratory data analysis application that is a component of the SAS Visual Analytics solution. It excels at handling big data problems like the VAST challenge. With a wide range of visual analytics features and the ability to scale to massive datasets, SAS Visual Analytics Explorer enables analysts to find patterns and relatio...

Visual Analytics for the Exploration of Tumor Tissue Characterization

Tumors are heterogeneous tissues consisting of multiple regions with distinct characteristics. Characterization of these intra-tumor regions can improve patient diagnosis and enable a better targeted treatment. Ideally, tissue characterization could be performed non-invasively, using medical imaging data, to derive per voxel a number of features, indicative of tissue properties. However, the hi...

Uncertainty-aware Visual Analytics for Spatio-temporal Data Exploration