Abstract. Association rule algorithms often generate an excessive number of rules, many of which are not significant. It is difficult to determine which rules are more useful, int...
This paper presents our ongoing effort on developing a principled methodology for automatic ontology mapping based on BayesOWL, a probabilistic framework we developed for modeling ...
In this paper we propose and analyze a method for proofs of actual query execution in an outsourced database framework, in which a client outsources its data management needs to a...
This work presents a new perspective on characterizing the similarity between elements of a database or, more generally, nodes of a weighted, undirected, graph. It is based on a M...
In this paper, we propose a simple framework to characterize the switching behavior between search engines based on click streams. We segment users into a number of categories bas...