For video footage from past you can visit the individual event pages, or go to our YouTube Channel.
To filter by event category, click on the event category link in the table below or use the menu on the right.
List of Past Events
Learning and Mining in Large Complex Networks
Dr. Tina Eliassi-Rad
Monday, April 18, 2011, 12:00pm - 07:00pm
Rutgers University, Department of Computer Science
Complex networks are ubiquitous in many domains. Examples include technological, informational, social, and biological networks. In this talk, I will present algorithms for both relational classification and clustering in such networked data. I will pay special attention to issues surrounding scalability, transfer of knowledge across networks, and evaluation in such non-IID settings.
Background reading is available at http://eliassi.org/pubs.html">http://eliassi.org/pubs.html. These four publications should provide a nice background:
 Jennifer Neville, Brian Gallagher, Tina Eliassi-Rad, and Tao Wang: Correcting Evaluation Bias of Relational Classifiers with Network Cross Validation. Knowledge and Information Systems (KAIS), Springer, January 2011.
 Keith Henderson, Tina Eliassi-Rad, Spiros Papadimitriou, and Christos Faloutsos: HCDF: A Hybrid Community Discovery Framework. SIAM SDM 2010: 754-765.
 Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, and Christos Faloutsos: Using ghost edges for classification in sparsely labeled networks. ACM SIGKDD 2008: 256-264.
 Prithviraj Sen, Galileo Namata, Mustafa Bilgic, Lise Getoor, Brian Gallagher, and Tina Eliassi-Rad: Collective Classification in Network Data. AI Magazine 29(3): 93-106 (2008).