Database and Artificial Intelligence (AI) can benefit from each other. On one hand, AI can
make database more intelligent (AI4DB). For example, traditional empirical database …

Query optimization is a key component in database management systems (DBMS) and
distributed data processing platforms. Recent research in the database community …

Recently, Machine Learning (ML, for short) has been successfully applied to database
indexing. Initial experimentation on Learned Indexes has demonstrated better search …

Machine learning techniques have been proposed to optimize the databases. For example,
traditional empirical database optimization techniques (eg, cost estimation, join order …

Nowadays, big data lakes are prominent components of emerging big data architectures.
Basically, big data lakes are the natural evolution of data warehousing systems in the big …

Spatial data is ubiquitous. Massive amounts of data are generated every day from a plethora
of sources such as billions of GPS-enabled devices (eg, cell phones, cars, and sensors) …

The emerging class of instance-optimized systems has shown potential to achieve high
performance by specializing to a specific data and query workloads. Particularly, Machine …

To approach the challenges of non-IID data and limited communication resource raised by
the emerging federated learning (FL) in mobile edge computing (MEC), we propose an …

Maps services are ubiquitous in widely used applications including navigation systems, ride
sharing, and items/food delivery. Though there are plenty of efforts to support such services …

Big data and geographic information systems (GIS) are two technologies that have
increasingly influenced many areas in the last 10 years and will continue to improve and …