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

IF 3.8 3区计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

Visual Informatics Pub Date : 2024-06-01 DOI:10.1016/j.visinf.2024.06.002

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

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引用次数: 0

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.

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AVA：自动化和人工智能驱动的智能视觉分析框架

随着数据集规模和复杂性的惊人增长，在大型数据集中为用户创建适当的可视化变得越来越具有挑战性。尽管迄今为止已经有多个可视化推荐系统被提出，但缺乏实际工程投入仍然是业界使用可视化推荐的一个主要问题。在本文中，我们提出了一个开源的基于网络的自动可视化分析框架--AVA。AVA 包含经验驱动和洞察驱动两种可视化推荐方法，分别满足创建美观的可视化和理解可表达的洞察的需求。代码可在 https://github.com/antvis/AVA 上获取。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Visual Informatics Computer Science-Computer Graphics and Computer-Aided Design

CiteScore

6.70

自引率

3.30%

发文量

审稿时长

79 days