… are designed to answer aggregate analytical queries over spatio-temporal and textual data,
eg, … over multiple compute nodes. Elite addresses both range and nearest-neighbor queries. …

… mostly investigated infrastructures for processing big spatial data, this survey has explored
the whole ecosystem of spatial and spatio-temporal analytics. This survey also portrays the …

… survey is designed to cover the STDM related challenges from three different perspectives.
We start the survey … Spatiotemporal data can be aggregated at different levels or areal units. It …

… tasks, but their disadvantage is readily apparent: the recurrent structures necessitate the
computation of sequences at every time step, leading to a substantial increase in computational …

… We first categorize the spatio-temporal data into five different types, and then briefly … First
survey. To our knowledge, this is the first survey that reviews recent works exploring deep …

… The aggregation steps are shown in Algorithm 2. From step 1 to 4, we compute the
Euclidean distance for each data point. In steps 5 to 7, we check its value against a pre-defined …

… When we consider spatio-temporal action recognition, we deal with action localization. This
task not only involves determining what action is being performed, but also when and where …

… for spatio-temporal data. We summarise the application of popular GAN architectures …
spatio-temporal data and the common practices for evaluating the performance of spatio-temporal …

… (2010) presented a literature survey of spatiotemporal clustering … be applied to both
aggregated and non-aggregated data. … line segments L i and L j can be computed by Eq. (1), the …

… of real-time spatio-temporal data aggregation with privacy … the temporal correlation in
spatio-temporal data and provide … real-time and private spatio-temporal data aggregation with an …