Kernel Density Visualization (KDV) has been extensively used in a wide range of
applications, including traffic accident hotspot detection, crime hotspot detection, disease …

This article addresses the MaxRS (Maximizing Range Sum) monitoring problem. Given a set
of weighted spatial stream objects, this problem is to monitor a location of a user-specified …

Efficient and effective processing of the distance-based join query (DJQ) is of great
importance in spatial databases due to the wide area of applications that may address such …

Maximizing Range Sum (MaxRS) query is a basic operation in computational geometry and
database communities. Given a set of weighted objects in 2-dimensional space and a …

We address the problem of efficient maintenance of the answer to a new type of query:
Continuous Maximizing Range-Sum (Co-MaxRS) for moving objects trajectories. The …

We address the problem of maintaining the correct answer-sets to the Conditional
Maximizing Range-Sum (C-MaxRS) query in spatial data streams. Given a set of (possibly …

Given a set of spatial objects with scores and a size of a rectangle, MaxRS (Maximizing
Range Sum) queries retrieve the location of the rectangle which maximizes the sum of the …

Abstract The Maximizing Range Sum problem is widely applied in facility locating, spatial
data mining, and clustering problems. The current most efficient method solves it in time O …

In smart phones, vehicles and wearable devices, GPS sensors are ubiquitous and collect a
lot of valuable spatial data from the real world. Given a set of weighted points and a …

Given a set of positive weighted points, the Maximizing Range Sum (maxRS) problem finds
the placement of a query region r of given size such that the weight sum of points covered by …