The continuous development of wireless networks and mobile devices has motivated an
intense research in mobile data services. Some of these services provide the user with …

Machine learning, especially deep learning, is used increasingly to enable better solutions
for data management tasks previously solved by other means, including database indexing …

Many location-based applications require constant monitoring of k-nearest neighbor (k-NN)
queries over moving objects within a geographic area. Existing approaches to this problem …

Given a dataset P and a preference function f, a top-k query retrieves the k tuples in P with
the highest scores according to f. Even though the problem is well-studied in conventional …

This paper proposes a generic framework for monitoring continuous spatial queries over
moving objects. The framework distinguishes itself from existing work by being the first to …

With many location-based services, it is implicitly assumed that the location server receives
actual users locations to respond to their spatial queries. Consequently, information …

With the development of positioning technologies and the boosting deployment of
inexpensive location-aware sensors, large volumes of trajectory data have emerged …

This paper presents the scalable on-line execution (SOLE) algorithm for continuous and on-
line evaluation of concurrent continuous spatio-temporal queries over data streams …

We are moving towards 'smart'world in which industries, such as healthcare, smart cities,
transportation, and agriculture have started using IoT (Internet of Things). These applications …

Assume a set of moving objects and a central server that monitors their positions over time,
while processing continuous nearest neighbor queries from geographically distributed …