Privacy-preserving data mining (PPDM) is an emergent research area that addresses the incorporation of privacy preserving concerns to data mining techniques. In this paper we prop...
Databases are continuously evolving environments, where design constructs are added, removed or updated rather often. Small changes in the database configurations might impact a l...
George Papastefanatos, Fotini Anagnostou, Yannis V...
Based on practical observations on rule-based inference on RDF data, we study the problem of redundancy elimination in RDF in the presence of rules (in the form of Datalog rules) a...
Reinhard Pichler, Axel Polleres, Sebastian Skritek...
Background: The previous studies of genome-wide expression patterns show that a certain percentage of genes are cell cycle regulated. The expression data has been analyzed in a nu...
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...