This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Modeling data warehouses is a complex task focusing, very often, into internal structures and implementation issues. In this paper we argue that, in order to accurately reflect the...
Nectaria Tryfona, Frank Busborg, Jens G. Borch Chr...
Proposals for multicast security that have been published so far are complex, often require trust in network components or are inefficient. In this paper we propose a series of no...
Germano Caronni, Marcel Waldvogel, Dan Sun, Bernha...
We study fundamental aspects related to the efficient processing of the SPARQL query language for RDF, proposed by the W3C to encode machine-readable information in the Semantic W...
This paper presents algorithms that make it possible to process XML data that conforms to XML Schema (XSD) in a mainstream object-oriented programming language. These algorithms a...