Supporting exploratory visual analysis (EVA) is a central goal of visualization research, and
yet our understanding of the process is arguably vague and piecemeal. We contribute a …

Physicians are confronted with increasingly complex patient histories based on which they
must make life-critical treatment decisions. At the same time, clinical researchers are eager …

The increasing scale and availability of digital data provides an extraordinary resource for
informing public policy, scientific discovery, business strategy, and even our personal lives …

Visual analytics (VA) is typically applied in scenarios where complex data has to be
analyzed. Unfortunately, there is a natural correlation between the complexity of the data …

We present NodeXL, an extendible toolkit for network overview, discovery and exploration
implemented as an add-in to the Microsoft Excel 2007 spreadsheet software. We …

Data quality issues such as missing, erroneous, extreme and duplicate values undermine
analysis and are time-consuming to find and fix. Automated methods can help identify …

This article provides a review of the current state of science regarding cartographic
interaction, a complement to the traditional focus within cartography on cartographic …

We present a novel approach to visualization recommendation that monitors user behavior
for implicit signals of user intent to provide more effective recommendation. This is in …

Many well-cited theories for visualization design state that a visual representation should be
optimized for quick and immediate interpretation by a user. Distracting elements like …

Reverse engineering is a complex process essential to software-security tasks such as
vulnerability discovery and malware analysis. Significant research and engineering effort …