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 …

Natural language (NL) is a promising interaction paradigm for data visualization (VIS).
However, there are not any NL to VIS (NL2VIS) benchmarks available. Our goal is to provide …

Although we have seen a proliferation of algorithms for recommending visualizations, these
algorithms are rarely compared with one another, making it difficult to ascertain which …

Visualization recommendation systems help data analysts navigate large, complex datasets
by generating visualizations of meaningful patterns, outliers, and insights that could …

We introduce a conceptual model for scalability designed for visualization research. With
this model, we systematically analyze over 120 visualization publications from 1990 to 2020 …

Mosaic is an architecture for greater scalability, extensibility, and interoperability of
interactive data views. Mosaic decouples data processing from specification logic: clients …

Many database optimization problems, eg, slow SQL diagnosis, database testing, optimizer
tuning, require a large volume of SQL queries. Due to privacy issues, it is hard to obtain real …

It is an open challenge for cloud database service providers to guarantee tenants' service-
level objectives (SLOs) and enjoy high resource utilization simultaneously. In this work, we …

Exploratory visual analysis (EVA) is an essential stage of the data science pipeline, where
users often lack clear analysis goals at the start and iteratively refine them as they learn …

Query execution time prediction is essential for database query optimization tasks, such as
query scheduling, progress monitoring, and resource allocation. In the query execution time …