AI Seminar - Title: Collective Graph Identification
- When:
- Friday, June 22, 2012, 11:00 am - 12:00 pm
- Where:
- 6th floor large conference room
- Speaker:
- Lise Getoor
- Description:
Title: Collective Graph Identification
The importance of network analysis is growing across many domains, and
is fundamental in understanding online interactions, biological
processes, communication, ecological, financial, social and
transportation networks, and more. In most of these domains, the
networks of interest are not directly observed, but must be inferred
from noisy and incomplete data, data that was often generated
indirectly, for purposes other than scientific analysis. In this talk, I
will introduce the problem of */graph identification/*, the process of
inferring the hidden network from noisy observational data. I will
describe some of the component steps involved, and then I will describe
a collective approach to graph identification, which interleaves the
necessary steps in the accurate reconstruction of the network. Time
permitting, I will also survey some of my group's work on visual
analytics, probabilistic databases, privacy, and active learning.bio:
Lise Getoor is an Associate Professor in the Computer Science Department
at the University of Maryland, College Park and University of Maryland
Institute for Advanced Computer Studies. Her research areas include
machine learning, and reasoning under uncertainty; in addition she works
in data management, visual analytics and social network analysis. She
is a board member of the International Machine Learning Society, a
former Machine Learning Journal Action Editor, Associate Editor for the
ACM Transactions of Knowledge Discovery from Data, JAIR Associate
Editor, and she has served on the AAAI Council. She was conference
co-chair for ICML 2011, and has served on the PC of many conferences
including the senior PC of AAAI, ICML, KDD, UAI and the PC of SIGMOD,
VLDB, and WWW. She is a recipient of an NSF Career Award and was awarded
a National Physical Sciences Consortium Fellowship. Her work has been
funded by ARO, DARPA, IARPA, Google, IBM, LLNL, Microsoft, NGA, NSF,
Yahoo! and others. She received her PhD from Stanford University, her
MS from University of California, Berkeley, and her BS from University
of California, Santa Barbara. For more information see
http://www.cs.umd.edu/~getoor/ <http://www.cs.umd.edu/%7Egetoor/>
