most citedSurvey on Visual Analysis of Event Sequence Data

7 citations · 7 across the 1 of their papers we have counts for

collaborators

5 papers

cs.HC20207 cited

Survey on Visual Analysis of Event Sequence Data

Yi Guo, Shunan Guo, Zhuochen Jin +3

Event sequence data record series of discrete events in the time order of occurrence. They are commonly observed in a variety of applications ranging from electronic health records…

cs.HC2019

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

Visual Anomaly Detection in Event Sequence Data

Shunan Guo, Zhuochen Jin, Qing Chen +3

Anomaly detection is a common analytical task that aims to identify rare cases that differ from the typical cases that make up the majority of a dataset. When applied to the analys…

cs.HC2019

Periphery Plots for Contextualizing Heterogeneous Time-Based Charts

Bryce Morrow, Trevor Manz, Arlene E. Chung +2

Patterns in temporal data can often be found across different scales, such as days, weeks, and months, making effective visualization of time-based data challenging. Here we propos…

cs.HC2019

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…