mTreeIllustrator: A Mixed-Initiative Framework for Visual Exploratory Analysis of Multidimensional Hierarchical Data

Authors

  • Guijuan Wang Information and Technology School, Computer Science and Technology School, Southwest University of Science and Technology, Mianyang 621010, China
  • Yu Zhao Institute of Rural Development, Shandong Academy of Social Sciences, Jinan 250002, China
  • Boyou Tan Computer Science and Technology School, Southwest University of Science and Technology, Mianyang 621010, China
  • Zhong Wang Computer Science and Technology School, Southwest University of Science and Technology, Mianyang 621010, China
  • Jiansong Wang Computer Science and Technology School, Southwest University of Science and Technology, Mianyang 621010, China
  • Hao Guo Computer Science and Technology School, Southwest University of Science and Technology, Mianyang 621010, China
  • Yadong Wu Computer Science and Engineering School, Sichuan University of Science and Engineering, Zigong 645002, China

DOI:

https://doi.org/10.31577/cai_2023_3_690

Keywords:

Multidimensional hierarchical data, visual exploratory analysis, visualization recommendation, faceted visualization

Abstract

Multidimensional hierarchical (mTree) data are very common in daily life and scientific research. However, mTree data exploration is a laborious and time-consuming process due to its structural complexity and large dimension combination space. To address this problem, we present mTreeIllustrator, a mixed-initiative framework for exploratory analysis of multidimensional hierarchical data with faceted visualizations. First, we propose a recommendation pipeline for the automatic selection and visual representation of important subspaces of mTree data. Furthermore, we design a visual framework and an interaction schema to couple automatic recommendations with human specifications to facilitate progressive exploratory analysis. Comparative experiments and user studies demonstrate the usability and effectiveness of our framework.

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Published

2023-08-31

How to Cite

Wang, G., Zhao, Y., Tan, B., Wang, Z., Wang, J., Guo, H., & Wu, Y. (2023). mTreeIllustrator: A Mixed-Initiative Framework for Visual Exploratory Analysis of Multidimensional Hierarchical Data. Computing and Informatics, 42(3), 690–715. https://doi.org/10.31577/cai_2023_3_690