How are they different? A quantitative domain comparison of information visualization and data visualization (2000–2014)

MC Kim, Y Zhu, C Chen - Scientometrics, 2016 - Springer
Abstract Information visualization and data visualization are often viewed as similar, but
distinct domains, and they have drawn an increasingly broad range of interest from diverse …

VERB: Visualizing and interpreting bias mitigation techniques geometrically for word representations

A Rathore, S Dev, JM Phillips, V Srikumar… - ACM Transactions on …, 2024 - dl.acm.org
Word vector embeddings have been shown to contain and amplify biases in the data they
are extracted from. Consequently, many techniques have been proposed to identify …

CAST: Effective and efficient user interaction for context-aware selection in 3D particle clouds

L Yu, K Efstathiou, P Isenberg… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
We present a family of three interactive Context-Aware Selection Techniques (CAST) for the
analysis of large 3D particle datasets. For these datasets, spatial selection is an essential …

A structured review of data management technology for interactive visualization and analysis

L Battle, C Scheidegger - IEEE transactions on visualization …, 2020 - ieeexplore.ieee.org
In the last two decades, interactive visualization and analysis have become a central tool in
data-driven decision making. Concurrently to the contributions in data visualization …

Public health informatics: the importance of Covid-19 dashboard in KSA for sharing and visualizing health information

AALI ALHUR - Journal of Information Systems and Digital …, 2023 - journals.iium.edu.my
Coronavirus pandemic was declared by the World Health Organization on March 11, 2020.
Misinformation and social inequality have hindered nations from preparing for …

Post-WIMP interaction for information visualization

B Lee, A Srinivasan, P Isenberg… - … and Trends® in Human …, 2021 - nowpublishers.com
Well-designed interactions for visualization systems hold great promise both for empowering
people to effectively complete their tasks and for providing more natural and engaging user …

Mtseer: Interactive visual exploration of models on multivariate time-series forecast

K Xu, J Yuan, Y Wang, C Silva, E Bertini - … of the 2021 CHI Conference on …, 2021 - dl.acm.org
Time-series forecasting contributes crucial information to industrial and institutional decision-
making with multivariate time-series input. Although various models have been developed to …

Does design matter when visualizing Big Data? An empirical study to investigate the effect of visualization type and interaction use

L Perkhofer, C Walchshofer, P Hofer - Journal of Management Control, 2020 - Springer
The need for good visualization is increasing, as data volume and complexity expand. In
order to work with high volumes of structured and unstructured data, visualizations …

Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Research

H Subramonyam, J Hullman - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Visualization for machine learning (VIS4ML) research aims to help experts apply their prior
knowledge to develop, understand, and improve the performance of machine learning …

Interactive optimization of embedding-based text similarity calculations

D Witschard, I Jusufi, RM Martins… - Information …, 2022 - journals.sagepub.com
Comparing text documents is an essential task for a variety of applications within diverse
research fields, and several different methods have been developed for this. However …