We describe a framework for managing network attack graph complexity through interactive visualization, which includes hierarchical aggregation of graph elements. Aggregation coll...
A crucial issue for Machine Learning and Data Mining is Feature Selection, selecting the relevant features in order to focus the learning search. A relaxed setting for Feature Sele...
For the last few years we have studied the diffusion of private information about users as they visit various Web sites triggering data gathering aggregation by third parties. Thi...
Online Analytical Processing is a powerful framework for the analysis of organizational data. OLAP is often supported by a logical structure known as a data cube, a multidimension...
Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chapl...
Within the public sector, the deployment of enterprise architecture is often an attempt to address the decentralization/centralization relationships to improve the links between t...