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     COLLOQUIUM OF THE COMPUTATIONAL MATERIALS SCIENCE CENTER
AND THE SCHOOL OF PHYSICS, ASTRONOMY, & COMPUTATIONAL SCIENCES
                            (CSI 898-Sec 001)
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       The Quest for Anomalies: Algorithms and Applications

                         Daniel Barbara
Computer Science Department, George Mason University, Fairfax, VA

Anomaly detection is an important data mining task that enables the detection
of patterns or data measurements that are distinct from the rest of the
population.
Anomaly detection has important applications in computer security,
surveillance, fraud detection, and many scientific applications.
In this talk I describe a family of anomaly detection algorithms that use
statistical hypothesis and transduction to perform the detection of abnormal
data or events.
The algorithms have the virtue of requiring only minimal input from the user
and can be adapted to a spectrum of applications.
I will describe several applications where the algorithms have been
successfully applied, including intrusion detection, image surveillance,
protection of critical infrastructure, and analysis
of meteorological data. 

                       Monday, MArch 26, 2012
                               4:30 pm
                    Room 301, Research I, Fairfax Campus

Refreshments will be served at 4:15 PM.
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Find the schedule at http://www.cmasc.gmu.edu/seminar/schedule.html