Data visualization is crucial in today's data-driven business world, which has been widely
used for helping decision making that is closely related to major revenues of many industrial …

As video volumes grow, analysts are increasingly able to query the real world. Since
manually watching these growing volumes of video is infeasible, analysts have increasingly …

In the last two decades, interactive visualization and analysis have become a central tool in
data-driven decision making. Concurrently to the contributions in data visualization …

Data scientists spend over 80% of their time (1) parameter-tuning machine learning models
and (2) iterating between data cleaning and machine learning model execution. While there …

The proliferation of sensors and observational instruments enable scientists to explore
natural, spatiotemporal phenomena via explorative analysis and advanced modeling …

Interactive visual analytics over distributed systems housing voluminous datasets is
hindered by three main factors-disk and network I/O, and data processing overhead …

In order to reduce the possibility of neural injury from seizures and sidestep the need for a
neurologist to spend hours on manually reviewing the EEG recording, it is critical to …

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 …

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 …

Exponential growth in spatial data volumes have occurred alongside increases in the
dimensionality of datasets and the rates at which observations are generated. Rapid …