Abstract-- Existing research on privacy-preserving data publishing focuses on relational data: in this context, the objective is to enforce privacy-preserving paradigms, such as ka...
The top-k similarity joins have been extensively studied and used
in a wide spectrum of applications such as information retrieval, decision
making, spatial data analysis and dat...
The relational model, as proposed by Codd, contained the concept of relations as tables composed of tuples of single valued attributes taken from a domain. In most of the early lit...
In this paper we present a novel technique for nearest neighbor searching dubbed neighborhood approximation. The central idea is to divide the database into compact regions repres...
Derived horizontal fragmentation is one of the main database distribution design techniques. Unlike primary horizontal fragmentation, the decision of derived horizontal fragmentat...