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 …

Mobility data captures the locations of moving objects such as humans, animals, and cars.
With the availability of GPS-equipped mobile devices and other inexpensive location …

With the broad adoption of mobile devices, notably smartphones, keyword-based search for
content has seen increasing use by mobile users, who are often interested in content related …

Mining massive and high-speed data streams among the main contemporary challenges in
machine learning. This calls for methods displaying a high computational efficacy, with …

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 unprecedented spread of location-aware devices has resulted in a plethora of location-
based services in which huge amounts of spatial data need to be efficiently processed by …

Huge amount of data with both space and text information, eg, geo-tagged tweets, is
flooding on the Internet. Such spatio-textual data stream contains valuable information for …

This era is witnessing an exponential growth in spatial data due to the increase in GPS-
enabled devices. Spatial data can be of extreme use to commercial businesses …

Recent rapid development of wireless communication, mobile computing, global navigation
satellite systems (GNSS), and spatially enabled sensors are leading to an exponential …

With the prevalence of social media and GPS-enabled devices, a massive amount of geo-
textual data have been generated in a stream fashion, leading to a variety of applications …