Search operations in databases require special support at the physical level. This is true for
conventional databases as well as spatial databases, where typical search operations …

k nearest neighbours (kNN) queries are fundamental in many applications, ranging from
data mining, recommendation system and Internet of Things, to Industry 4.0 framework …

In order to handle spatial data efficiently, as required in computer aided design and geo-
data applications, a database system needs an index mechanism that will help it retrieve …

Spatial data mining is the discovery of interesting relationships and characteristics that may
exist implicitly in spatial databases. In this paper, we explore whether clustering methods …

The Handbook of Discrete and Computational Geometry is intended as a reference book
fully accessible to nonspecialists as well as specialists, covering all major aspects of both …

Spatial data mining is the discovery of interesting relationships and characteristics that may
exist implicitly in spatial databases. To this end, this paper has three main contributions …

A frequently encountered type of query in Geographic Information Systems is to find the k
nearest neighbor objects to a given point in space. Processing such queries requires …

• Bases de datos relacionales (Capítulos 4 al 7). El Capítulo 4 se centra en el lenguaje
relacional orientado al usuario de mayor influencia: SQL. El Capítulo 5 cubre otros dos …

A very promising idea for fast searching in traditional and multimedia databases is to map
objects into points in kd space, using k feature-extraction functions, provided by a domain …

A coleta de informações sobre a distribuição geográfica de recursos minerais,
propriedades, animais e plantas sempre foi uma parte importante das atividades das …