Due to the surge of spatio-temporal data volume, the popularity of location-based services
and applications, and the importance of extracted knowledge from spatio-temporal data to …

The Internet of Things (IoT) has become widespread around the world. Since a large
number of diverse devices, such as vehicles, household electrical appliances, smart …

Spatial data is pervasive. Large amount of spatial data is produced every day from GPS-
enabled devices such as cell phones, cars, sensors, and various consumer based …

Data isolation has become an obstacle to scale up query processing over big data, since
sharing raw data among data owners is often prohibitive due to security concerns. A …

With the increase in smart devices, spatiotemporal data has grown exponentially. To deal
with challenges caused by an increase data requires a scalable and efficient architecture …

With the prevalence of positioning techniques, a prodigious number of spatio-temporal data
is generated constantly. To effectively support sophisticated urban applications, eg, location …

The spatial join is a popular operation in spatial database systems and its evaluation is a
well-studied problem. This paper reviews research and recent trends on spatial join …

Spatial data is ubiquitous. Massive amounts of data are generated every day from billions of
GPS-enabled devices such as cell phones, cars, sensors, and various consumer-based …

This paper introduces the open-source Beast system for scalable exploratory data science
on big spatio-temporal data. Beast is based on well-established research and has been …

The arising Internet of Things (IoT) will require significant changes to current stream
processing engines (SPEs) to enable large-scale IoT applications. In this paper, we present …