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A Visual Analytics Approach for Exploratory Causal Analysis: Exploration, Validation, and Applications

  • Published:2021-02 Issue:2 Volume:27 Page:1448-1458
  • ISSN:1077-2626
  • Container-title:IEEE Transactions on Visualization and Computer Graphics
  • language:
  • Short-container-title:IEEE Trans. Visual. Comput. Graphics

Author:

Xie Xiao,Du Fan,Wu Yingcai

Funder

National Key R&D Program of China

NSFC

NSFC-Zhejiang Joint Fund for the Integration of Industrialization and Informatization

Zhejiang Provincial Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Signal Processing,Software

Cited by 20 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Analysis of factors influencing energy consumption of electric vehicles: Statistical, predictive, and causal perspectives;Applied Energy;2024-12

2. A framework to improve causal inferences from visualizations using counterfactual operators;Information Visualization;2024-08-05

3. Customer Behaviour Analysis: Tools Overview;2024 IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE);2024-02-16

4. An empirical study of counterfactual visualization to support visual causal inference;Information Visualization;2024-02-07

5. Using Counterfactuals to Improve Causal Inferences From Visualizations;IEEE Computer Graphics and Applications;2024-01
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