Location-based information contained in publicly available GIS databases is invaluable for many applications such as disaster response, national infrastructure protection, crime a...
Spatial data mining, i.e., discovery of interesting characteristics and patterns that may implicitly exist in spatial databases, is a challenging task due to the huge amounts of s...
Despite the existence of obstacles in many database applications, traditional spatial query processing utilizes the Euclidean distance metric assuming that points in space are dire...
Jun Zhang, Dimitris Papadias, Kyriakos Mouratidis,...
Clustering is one of the most important analysis tasks in spatial databases. We study the problem of clustering objects, which lie on edges of a large weighted spatial network. Th...
In an object-relational database management system, a query optimizer requires users to provide cost models of userdefined functions. The traditional approach is analytical, that...