Spatial approximations have been traditionally used in spatial databases to accelerate the
processing of complex geometric operations. However, approximations are typically only …

With large-scale simulations of increasingly detailed models and improvement of data
acquisition technologies, massive amounts of data are easily and quickly created and …

Efficiently querying multiple spatial data sets is a growing challenge for scientists.
Astronomers query data sets that contain different types of stars (eg, dwarfs, giants …

In-situ processing has received a great deal of attention in recent years. In in-situ scenarios,
big raw data files which do not fit in main memory, must be efficiently handled on-the-fly …

Supporting the interactive exploration of large datasets is a popular and challenging use
case for data management systems. Traditionally, the interface and the back-end system are …

In-situ processing has received a great deal of attention in recent years. In in-situ scenarios,
big raw data files which do not fit in main memory, must be efficiently handled using …

Prefetching is a crucial technique employed in traditional databases to enhance interactivity,
particularly in the context of data exploitation. Data exploration is a query processing …

This paper investigates a new query, called an MIO query, that retrieves the Most Interactive
Object in a given spatial dataset. Consider that an object consists of many spatial points …

Significant increase in high-resolution satellite data requires more productive analysis
methods to benefit data scientists. Interactive exploration is essential to productivity since it …

Summary Index structures that are bulk‐loaded adaptively based on the query workload
have been the subject of many database research, primarily in conventional databases …