High-throughput studies of biological systems are rapidly accumulating a wealth of'omics'-
scale data. Visualization is a key aspect of both the analysis and understanding of these …

The conflux of two growing areas of technology–collaboration and visualization–into a new
research direction, collaborative visualization, provides new research challenges …

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 …

Effective data visualization is a key part of the discovery process in the era of “big data”. It is
the bridge between the quantitative content of the data and human intuition, and thus an …

Immersive technologies offer new opportunities to support collaborative visual data analysis
by providing each collaborator a personal, high-resolution view of a flexible shared …

One of the tenets of qualitative research is the emphasis and honoring of the participants'
own words as generative of meaning and knowledge; yet it is rare to hear the actual voices …

Organizations rely on data analysts to model customer engagement, streamline operations,
improve production, inform business decisions, and combat fraud. Though numerous …

Remote collaboration systems allow users at different sites to perform joint tasks, which are
required by many real-life applications. For example, environmental pollution is a complex …

The increasing scale and availability of digital data provides an extraordinary resource for
informing public policy, scientific discovery, business strategy, and even our personal lives …

Cross‐virtuality analytics (XVA) is a novel field of research within immersive analytics and
visual analytics. A broad range of heterogeneous devices across the reality–virtuality …