Data-centric artificial intelligence: A survey

D Zha, ZP Bhat, KH Lai, F Yang, Z Jiang… - ACM Computing …, 2023 - dl.acm.org
Artificial Intelligence (AI) is making a profound impact in almost every domain. A vital enabler
of its great success is the availability of abundant and high-quality data for building machine …

Towards natural language interfaces for data visualization: A survey

L Shen, E Shen, Y Luo, X Yang, X Hu… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Utilizing Visualization-oriented Natural Language Interfaces (V-NLI) as a complementary
input modality to direct manipulation for visual analytics can provide an engaging user …

Dashbot: Insight-driven dashboard generation based on deep reinforcement learning

D Deng, A Wu, H Qu, Y Wu - IEEE Transactions on Visualization …, 2022 - ieeexplore.ieee.org
Analytical dashboards are popular in business intelligence to facilitate insight discovery with
multiple charts. However, creating an effective dashboard is highly demanding, which …

Chart question answering: State of the art and future directions

E Hoque, P Kavehzadeh, A Masry - Computer Graphics Forum, 2022 - Wiley Online Library
Abstract Information visualizations such as bar charts and line charts are very common for
analyzing data and discovering critical insights. Often people analyze charts to answer …

[HTML][HTML] AVA: An automated and ai-driven intelligent visual analytics framework

J Wang, X Li, C Li, D Peng, AZ Wang, Y Gu, X Lai… - Visual Informatics, 2024 - Elsevier
With the incredible growth of the scale and complexity of datasets, creating proper
visualizations for users becomes more and more challenging in large datasets. Though …

A comprehensive state-of-the-art survey on data visualization tools: Research developments, challenges and future domain specific visualization framework

HM Shakeel, S Iram, H Al-Aqrabi, T Alsboui… - IEEE Access, 2022 - ieeexplore.ieee.org
Data visualization is a powerful skill for the demonstration of meaningful data insights in an
interactive and effective way. In this survey article, we collected 70 articles from last five …

[HTML][HTML] A survey on automatic dashboard recommendation systems

P Soni, C de Runz, F Bouali, G Venturini - Visual Informatics, 2024 - Elsevier
This paper presents a survey on automatic or semi-automatic recommendation systems that
help users create dashboards. It starts by showing the important role that dashboards play in …

AdaVis: Adaptive and Explainable Visualization Recommendation for Tabular Data

S Zhang, H Li, H Qu, Y Wang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Automated visualization recommendation facilitates the rapid creation of effective
visualizations, which is especially beneficial for users with limited time and limited …

What do we mean when we say “insight”? A formal synthesis of existing theory

L Battle, A Ottley - IEEE Transactions on Visualization and …, 2023 - ieeexplore.ieee.org
Researchers have derived many theoretical models for specifying users' insights as they
interact with a visualization system. These representations are essential for understanding …

An empirical study of counterfactual visualization to support visual causal inference

AZ Wang, D Borland, D Gotz - Information Visualization, 2024 - journals.sagepub.com
Counterfactuals–expressing what might have been true under different circumstances–have
been widely applied in statistics and machine learning to help understand causal …