The increasing availability of vehicular trajectory data is at the core of smart mobility
solutions. Such data offer us unprecedented information for the development of trajectory …

Index structures are one of the most important tools that DBAs leverage to improve the
performance of analytics and transactional workloads. However, building several indexes …

Spatio-temporal trajectory analytics are useful in diversified applications such as urban
planning, infrastructure development, and vehicular networks. Trajectory similarity measure …

Nearest neighbor (NN) search in high-dimensional spaces is inherently computationally
expensive due to the curse of dimensionality. As a well-known solution to approximate NN …

Finding joinable tables in data lakes is key procedure in many applications such as data
integration, data augmentation, data analysis, and data market. Traditional approaches that …

Nearest neighbor searching of large databases in high-dimensional spaces is inherently
difficult due to the curse of dimensionality. A flavor of approximation is, therefore, necessary …

Massive volumes of uncertain trajectory data are being generated by GPS devices. Due to
the limitations of GPS data, these trajectories are generally uncertain. This state of affairs …

The general notion of a metric space encompasses a diverse range of data types and
accompanying similarity measures. Hence, metric search plays an important role in a wide …

Indexing is an effective way to support efficient query processing in large databases.
Recently the concept of learned index, which replaces or complements traditional index …

With the continued digitization of societal processes, we are seeing an explosion in
available data. This is referred to as big data. In a research setting, three aspects of the data …