Cost-based query optimizers remain one of the most important components of database
management systems for analytic workloads. Though modern optimizers select plans close …

Despite decades of research on approximate query processing (AQP), our understanding of
sample-based joins has remained limited and, to some extent, even superficial. The …

Joins are expensive, and online aggregation over joins was proposed to mitigate the cost,
which offers users a nice and flexible tradeoff between query efficiency and accuracy in a …

We study the problem of efficiently estimating counts for queries involving complex filters,
such as user-defined functions, or predicates involving self-joins and correlated subqueries …

With the rapidly growing volume of data, it is more attractive than ever to leverage
approximations to answer analytic queries. Sampling is a powerful technique which has …

This tutorial overviews the state of the art in learning models over relational databases and
makes the case for a first-principles approach that exploits recent developments in database …

Progressive visualization offers a great deal of promise for big data visualization; however,
current progressive visualization systems do not allow for continuous interaction. What if …

Fault tolerance is critical for distributed stream processing systems, yet achieving error-free
fault tolerance often incurs substantial performance overhead. We present AF-Stream, a …

实时交互式分析针对多目标和多角度的分析任务, 通过多轮次的用户-数据库交互过程,
逐步明确分析任务与分析目标, 全方位地了解相关领域信息, 最终得到科学的, 全面的分析结果 …

The proliferation of event-based social networking (ESBN) motivates a range of studies on
topics such as event, venue, and friend recommendation and event creation and …