no code implementations • 8 Apr 2023 • Mengtian Guo, David Gotz, Yue Wang
In this work, we aim to understand the performance impact of using imperfectly assigned terms in Boolean semantic searches.
no code implementations • 19 Feb 2023 • Mengtian Guo, Zhilan Zhou, David Gotz, Yue Wang
When people search for information about a new topic within large document collections, they implicitly construct a mental model of the unfamiliar information space to represent what they currently know and guide their exploration into the unknown.
no code implementations • 1 Sep 2020 • Zhuochen Jin, Shunan Guo, Nan Chen, Daniel Weiskopf, David Gotz, Nan Cao
Unfortunately, recovering causalities from observational event sequences is challenging, as the heterogeneous and high-dimensional event variables are often connected to rather complex underlying event excitation mechanisms that are hard to infer from limited observations.
1 code implementation • 18 Jun 2019 • David Gotz, Jonathan Zhang, Wenyuan Wang, Joshua Shrestha, David Borland
This paper presents a dynamic hierarchical aggregation technique that leverages a predefined hierarchy of dimensions to computationally quantify the informativeness of alternative levels of grouping within the hierarchy at runtime.
Human-Computer Interaction
1 code implementation • 18 Jun 2019 • David Borland, Wenyuan Wang, Jonathan Zhang, Joshua Shrestha, David Gotz
We present techniques for selection bias tracking and visualization that can be incorporated into high-dimensional exploratory visual analytics systems, with a focus on medical data with existing data hierarchies.
Human-Computer Interaction
1 code implementation • 18 Jun 2019 • Bryce Morrow, Trevor Manz, Arlene E. Chung, Nils Gehlenborg, David Gotz
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.
Human-Computer Interaction
