While the primary goal of visual analytics research is to improve the quality of insights and
findings, a substantial amount of research in provenance has focused on the history of …

Distributed tracing tools have emerged in recent years to enable operators of modern
internet applications to troubleshoot cross-component problems in deployed applications …

Remote collaboration systems allow users at different sites to perform joint tasks, which are
required by many real-life applications. For example, environmental pollution is a complex …

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

We introduce time curves as a general approach for visualizing patterns of evolution in
temporal data. Examples of such patterns include slow and regular progressions, large …

Visual analytic tools combine the complementary strengths of humans and machines in
human-in-the-loop systems. Humans provide invaluable domain expertise and …

Visual analytics is inherently a collaboration between human and computer. However, in
current visual analytics systems, the computer has limited means of knowing about its users …

People often rank and order data points as a vital part of making decisions. Multi-attribute
ranking systems are a common tool used to make these data-driven decisions. Such …

Provenance-tracking is widely acknowledged as an important feature of visualization
systems. By tracking provenance data, visualization designers can provide a wide variety of …

Exploring large network datasets, such as scientific collaboration networks, is challenging
because they often contain a large number of nodes and edges in several types and with …