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 volume of spatio-temporal data is growing at a rapid pace due to advances in location-
aware devices, eg, smartphones, and the popularity of location-based services, eg …

Spatio-temporal data serves as a foundation for most location-based applications
nowadays. To handle spatio-temporal data, an appropriate methodology needs to be …

Big Data have emerged and become the norm in the past decade with its well-known 4V
challenges and now adds value (a 5th V) for scientific research and the development of new …

Spatial data mining is the process of discovering interesting and previously unknown, but
potentially useful patterns from the spatial and spatiotemporal data. However, explosive …

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 …

Spatio-temporal databases aim to support extensions to existing models of Spatial
Information Systems (SIS) to include time in order to better describe our dynamic …

Explosive growth in geospatial and temporal data as well as the emergence of new
technologies emphasize the need for automated discovery of spatiotemporal knowledge …

Spatiotemporal database management systems can become an enabling technology for
important applications such as Geographic Information Systems (GIS), environmental …

The emergence of location-aware services calls for new real-time spatio-temporal query
processing algorithms that deal with large numbers of mobile objects and queries. In this …