It is crucial for users to find lots of information with time and geographical tags on the
Internet. Therefore, a nearest neighbor query method called STR-kNN is proposed. Using …

With the rapid development of mobile computing and Web services, a huge amount of data
with spatial and temporal information have been collected everyday by smart mobile …

With advances in geo-positioning technologies and geo-locat-ion services, there are a
rapidly growing massive amount of spatio-tempor-al data collected in many applications …

In recent years, spatio-temporal databases have been studied intensively. This paper
proposes how to process k closest pair queries in spatio-temporal databases for the first …

Nearest neighbor (NN) search constitutes one of the most important forms of spatial/spatio-
temporal information processing. Despite the large amount of related work during the past …

In this paper, a heterogeneous spatial-temporal similarity search framework is proposed, in
which the datasets come from multiple different asynchronous data sources. Due to …

Continuous k-nearest neighbors (CKNN) search has been in the core of spatiotemporal
database research during the last decade. It is interested in continuously finding the k …

One of the important queries in spatio-temporal databases is the probabilistic K-nearest
neighbor query (or PKNNQ for short). Given a query object q, a set Smo of moving objects …

k Nearest Neighbor (kNN) query has received considerable attention from the database and
information retrieval communities. The applications of kNN query are widely, not only in …

Searching similar trajectories in real time has been a challenging task in a large variety of
location-aware applications. This paper addresses its two key issues, ie evaluating the …