Today, we are witnessing a new level of scale, complexity, and pervasiveness of software systems that are designed to support much more holistically complex processes. Much richer...
We address the inference control problem in data cubes with some data known to users through external knowledge. The goal of inference controls is to prevent exact values of sensi...
Geographic Information Systems (GIS) showed their insufficiencies in front of complex requests for decision-makers. Resulting of the association of the databases and the decision-m...
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
The Web has been rapidly "deepened" by myriad searchable databases online, where data are hidden behind query interfaces. As an essential task toward integrating these m...