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AVA: An automated and AI-driven intelligent visual analytics framework

Authors :
Jiazhe Wang
Xi Li
Chenlu Li
Di Peng
Arran Zeyu Wang
Yuhui Gu
Xingui Lai
Haifeng Zhang
Xinyue Xu
Xiaoqing Dong
Zhifeng Lin
Jiehui Zhou
Xingyu Liu
Wei Chen
Source :
Visual Informatics, Vol 8, Iss 2, Pp 106-114 (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

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 several visualization recommendation systems have been proposed, so far, the lack of practical engineering inputs is still a major concern regarding the usage of visualization recommendations in the industry. In this paper, we proposed AVA, an open-sourced web-based framework for Automated Visual Analytics. AVA contains both empiric-driven and insight-driven visualization recommendation methods to meet the demands of creating aesthetic visualizations and understanding expressible insights respectively. The code is available at https://github.com/antvis/AVA.

Details

Language :
English
ISSN :
2468502X
Volume :
8
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Visual Informatics
Publication Type :
Academic Journal
Accession number :
edsdoj.187bea3d1340c5b0dbb34ca8e38d98
Document Type :
article
Full Text :
https://doi.org/10.1016/j.visinf.2024.06.002