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 …

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 …

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 …

Graph analysis is a powerful method in data analysis. Although several frameworks have
been proposed for processing large graph instances in distributed environments, their …

Similarity search is a fundamental problem for many data analysis techniques. Many efficient
search techniques rely on the triangle inequality of metrics, which allows pruning parts of the …

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 …

The goal in similarity search is to find objects similar to a specified query object given a
certain similarity criterion. Although useful in many areas, such as multimedia retrieval …

Spatial queries including similarity search and similarity joins are useful in many areas, such
as multimedia retrieval, data integration, and so on. However, they are not supported well by …

Similarity search, the task of identifying objects most similar to a given query object under a
specific metric, has gathered significant attention due to its practical applications. However …

Metric indices support efficient similarity searches in metric spaces. This problem is central
to many applications, including multimedia databases and repositories handling complex …