[Solomonov Seminar] 230. Solomonov seminar

[Marko Grobelnik]

V petek 3. junija (jutri), bo ob 11h v Oranzni predavalnici IJS
(drugo nadstropje glavne stavbe) 230. Solomonov seminar.
Posnetki preteklih seminarjev so na http://videolectures.net/solomon/

Predavala bo Tina Eliassi-Rad iz Univerze Rutgers na temo
analize kompleksnih omrezij.

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Title: Classification and Clustering in Large Complex Networks

Abstract: Data represented as graphs with complex structures are
ubiquitous nowadays. Examples include technological networks (e.g., the
Internet), informational networks (e.g., the World-Wide Web), social
networks (e.g., Facebook's friendship graph), and biological networks
(e.g., protein interactions). 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,
sparsity of labels, various levels of relational dependency, and
performance consistency across assorted domains.

Short bio: Tina Eliassi-Rad is an Assistant Professor in the Department
of Computer Science at Rutgers University. Until September 2010, she
was a Member of Technical Staff and Principal Investigator at Lawrence
Livermore National Laboratory. She earned her Ph.D. in Computer
Sciences (with a minor in Mathematical Statistics) at the University of
Wisconsin-Madison in 2001. Broadly speaking, Tina's research interests
include data mining, machine learning, and artificial intelligence.
  Her work has been applied to the World-Wide Web, text corpora,
large-scale scientific simulation data, and cyber situational
awareness. Tina is an action editor for the Data Mining and Knowledge
Discovery Journal. In 2010, she received an Outstanding Mentor Award
from the United States Department of Energy Office of Science and a
Directorate Gold Award from Lawrence Livermore National Laboratory for
work on cyber situational awareness.