Data visualization is crucial in today's data-driven business world, which has been widely
used for helping decision making that is closely related to major revenues of many industrial …

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 …

There is fast‐growing literature on provenance‐related research, covering aspects such as
its theoretical framework, use cases, and techniques for capturing, visualizing, and …

Data visualization is the presentation of data in a pictorial or graphical format, and a data
visualization tool is the software that generates this presentation. Data visualization provides …

Linked Data (LD) is a well-established standard for publishing and managing structured
information on the Web, gathering and bridging together knowledge from different scientific …

We propose Hashedcubes, a data structure that enables real-time visual exploration of large
datasets that improves the state of the art by virtue of its low memory requirements, low …

The stated goal for visual data exploration is to operate at a rate that matches the pace of
human data analysts, but the ever increasing amount of data has led to a fundamental …

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

Data exploration and visualization systems are of great importance in the Big Data era.
Exploring and visualizing very large datasets has become a major research challenge, of …

Data lineage describes the relationship between individual input and output data items of a
workflow, and has served as an integral ingredient for both traditional (eg, debugging …