activity
20162024
most citedVisual Analysis of High-Dimensional Event Sequence Data via Dynamic Hierarchical Aggregation

36 citations · 88 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2024★ 7 cited

Causal Priors and Their Influence on Judgements of Causality in Visualized Data

Arran Zeyu Wang, David Borland, Tabitha C. Peck +2

"Correlation does not imply causation" is a famous mantra in statistical and visual analysis. However, consumers of visualizations often draw causal conclusions when only correlati…

cs.HC2022★ 12 cited

A Design Space for Surfacing Content Recommendations in Visual Analytic Platforms

Zhilan Zhou, Wenyuan Wang, Mengtian Guo +2

Recommendation algorithms have been leveraged in various ways within visualization systems to assist users as they perform of a range of information tasks. One common focus for the…

cs.HC2019★ 36 cited

Visual Analysis of High-Dimensional Event Sequence Data via Dynamic Hierarchical Aggregation

David Gotz, Jonathan Zhang, Wenyuan Wang +2

Temporal event data are collected across a broad range of domains, and a variety of visual analytics techniques have been developed to empower analysts working with this form of da…

cs.HC2019★ 27 cited

Selection Bias Tracking and Detailed Subset Comparison for High-Dimensional Data

David Borland, Wenyuan Wang, Jonathan Zhang +2

The collection of large, complex datasets has become common across a wide variety of domains. Visual analytics tools increasingly play a key role in exploring and answering complex…

cs.HC2016★ 6 cited

Visual Model Validation via Inline Replication

David Gotz, Brandon A. Price, Annie T. Chen

Data visualizations typically show retrospective views of an existing dataset with little or no focus on repeatability. However, consumers of these tools often use insights gleaned…