The rapid growth of available data arises the need for more sophisticated techniques for semantic access to information. It has been proved that using conceptual model or ontology...
The K-Nearest Neighbor search (kNN) problem has been investigated extensively in the past due to its broad range of applications. In this paper we study this problem in the contex...
Discovery of association rules is an important database mining problem. Mining for association rules involves extracting patterns from large databases and inferring useful rules f...
Mohammed Javeed Zaki, Srinivasan Parthasarathy, We...
Abstract- Given a dynamic corpus whose content and attention are changing on a daily basis, is it possible to collect and maintain the high-quality resources with a minimal investm...
Ravi Kumar, Kevin Lang, Cameron Marlow, Andrew Tom...
We describe and evaluate a query minimization technique that applies to XQueries, which are nested, perform arbitrary joins, and freely mix bag and set semantics. These features c...