Abstract Information visualization (InfoVis), the study of transforming data, information, and
knowledge into interactive visual representations, is very important to users because it …

With the ever-increasing amount of data, the world has stepped into the era of “Big Data”.
Presently, the analysis of massive and complex data and the extraction of relevant …

可视分析是大数据分析的重要方法. 大数据可视分析旨在利用计算机自动化分析能力的同时,
充分挖掘人对于可视化信息的认知能力优势, 将人, 机的各自强项进行有机融合 …

Interactive model analysis, the process of understanding, diagnosing, and refining a
machine learning model with the help of interactive visualization, is very important for users …

It is already true that Big Data has drawn huge attention from researchers in information
sciences, policy and decision makers in governments and enterprises. As the speed of …

Visual analytics employs interactive visualizations to integrate users' knowledge and
inference capability into numerical/algorithmic data analysis processes. It is an active …

With data comes uncertainty, which is a widespread and frequent phenomenon in data
science and analysis. The amount of information available to us is growing exponentially …

People who design, use, and are affected by autonomous artificially intelligent agents want
to be able to trust such agents—that is, to know that these agents will perform correctly, to …

While manufacturers have been generating highly distributed data from various systems,
devices and applications, a number of challenges in both data management and data …

In the context of data visualization and analytics, this report outlines some of the challenges
and emerging applications that arise in the Big Data era. In particularly, fourteen …