Data visualization is crucial in today's data-driven business world, which has been widely
used for helping decision making that is closely related to major revenues of many industrial …

Supporting exploratory visual analysis (EVA) is a central goal of visualization research, and
yet our understanding of the process is arguably vague and piecemeal. We contribute a …

Researchers currently rely on ad hoc datasets to train automated visualization tools and
evaluate the effectiveness of visualization designs. These exemplars often lack the …

Data lineage describes the relationship between individual input and output data items of a
workflow, and has served as an integral ingredient for both traditional (eg, debugging …

In the last two decades, interactive visualization and analysis have become a central tool in
data-driven decision making. Concurrently to the contributions in data visualization …

In the past few years human-in-the-loop data analysis (HILDA) has received significant
growing attention. Most HILDA works have focused on concrete problems. In this paper I …

Interactive query interfaces have become a popular tool for ad hoc data analysis and
exploration. Compared with traditional systems that are optimized for throughput or batched …

The problem of data visualization is to transform data into a visual context such that people
can easily understand the significance of data. Nowadays, data visualization becomes …

In this paper, we present a new benchmark to validate the suitability of database systems for
interactive visualization workloads. While there exist proposals for evaluating database …

Visual data analysis is a key tool for helping people to make sense of and interact with
massive data sets. However, existing evaluation methods (eg, database benchmarks …