67 citations · 307 across the 17 of their papers we have counts for
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cs.AI2020★ 48 cited
Visual Causality Analysis of Event Sequence Data
Zhuochen Jin, Shunan Guo, Nan Chen +3
Causality is crucial to understanding the mechanisms behind complex systems and making decisions that lead to intended outcomes. Event sequence data is widely collected from many r…
cs.HC2020★ 18 cited
Selection-Bias-Corrected Visualization via Dynamic Reweighting
David Borland, Jonathan Zhang, Smiti Kaul +1
The collection and visual analysis of large-scale data from complex systems, such as electronic health records or clickstream data, has become increasingly common across a wide ran…
cs.HC2020★ 7 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…