Many applications require the management of spatial data. Clustering large spatial databases is an important problem which tries to find the densely populated regions in the featu...
With the phenomenal growth of the WWW, rich data sources on many different subjects have become available online. Some of these sources store daily facts that often involve textual...
Karla A. V. Borges, Alberto H. F. Laender, Claudia...
Efficient processing of distance-based queries (DBQs) is of great importance in spatial databases due to the wide area of applications that may address such queries. The most repr...
Given a set of points P and a query point q, the reverse furthest neighbor (RFN) query fetches the set of points p P such that q is their furthest neighbor among all points in P {...
The clustering algorithm DBSCAN relies on a density-based notion of clusters and is designed to discover clusters of arbitrary shape as well as to distinguish noise. In this paper,...