In this paper we present Clustering Protocol (CP) for sensor networks. Clustering techniques are used by different protocols and applications to increase scalability and reduce de...
Abstract. The increasing complexity of today’s embedded systems applications imposes the requirements and constraints of distributed, heterogeneous subsystem interaction to softw...
The model of overloading views is a facility allowing the programmer to separate some kinds of crosscutting concerns that occur during design, implementation and maintenance of dat...
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...
Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...