Extracting useful knowledge from large network datasets has become a fundamental challenge in many domains, from scientific literature to social networks and the web. We introduc...
Duen Horng Chau, Aniket Kittur, Jason I. Hong, Chr...
Organizations like the Internet Archive have been capturing Web contents over decades, building up huge repositories of time-versioned pages. The timestamp annotations and the she...
Gerhard Weikum, Nikos Ntarmos, Marc Spaniol, Peter...
This interdisciplinary research project focuses on relevant applications of Knowledge Discovery and Artificial Neural Networks in order to identify and analyse levels of country, b...
We address the problem of designing distributed algorithms for large scale networks that are robust to Byzantine faults. We consider a message passing, full information model: the ...
Valerie King, Steven Lonargan, Jared Saia, Amitabh...
Following the increasing calls for a more skeptical analysis of web 2.0 and the empowerment of learners’ voices in formulating upcoming technologies, this paper elaborates on the...
George Palaigeorgiou, George Triantafyllakos, Avgo...