Society has reached a point of no return, one that leaves us completely reliant on omnipresent ICT-mediated communication. Mobile and sensor-rich portable devices connect millions of humans with Petabytes of data and numerous on-line services. However, tearing down the physical-digital barrier in a scalable fashion requires both radically novel algorithmic knowledge and in-depth understanding of humans and societies. We will deliver major theoretical advances in real-time intelligent information management of large datasets including online social networks, mobile devices and humans in physical space by delivering three functions: “alert”, by real-time location-aware knowledge acquisition, analysis and visualization; “response”, through on-demand composition and coordination of large teams; and effective “communication”, through recommendation and personalization.
Publication date
2007
In: ECML/PKDD 2007. 18th European conference on machine learning / 11th European conference on principles and practice of knowledge discovery in databases. Warsaw, 2007..
Semi-supervised learning: a comparative study for web spam and telephone user churn
In: 27th Annual ACM-SIAM Symposium on Discrete Algorithms Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms (3) Association for Computing Machinery, Red Hook NY, pp. 1650-1669.
Tight conditional lower bounds for counting perfect matchings on graphs of bounded treewidth, cliquewidth, and genus
In: Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016) European Language Resources Association (ELRA), Portoroz, pp. 2815-2818.