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New Meetup: Scalable, Privacy Friendly Graph Mining Techniques for Targeted Internet Ads

From: user 9.
Sent on: Thursday, August 26, 2010 11:41 AM
Announcing a new Meetup for NYC Predictive Analytics!

What: Scalable, Privacy Friendly Graph Mining Techniques for Targeted Internet Ads

When: Thursday, September 16,[masked]:00 PM

Where: AOL HQ
770 Broadway 6th Floor
New York, NY 10003

Please join us for our next meet-up with Claudia Perlich, Chief Scientist, and Brian Dalessandro, Director of Data Mining and Statistical Analysis, from Media6degrees.

Presentation will start at 7pm sharp, and feel free to show up at 6:30 to network with your peers.

Areas of discussion will include:
1. Ways of extracting features from a bipartite graph to pump them into a more friendly linear model?
2. How graph structures embed enough information that we can target users w/o knowing much about them
3. Other practical considerations for data mining and experimentation in a live production setting

Claudia Perlich
Prior to joining Media6Degrees, Claudia spent five years working at the Data Analytics Research group at the IBM T.J. Watson Research Center, concentrating on research in data analytics and machine learning for complex real-world domains and applications. She has been published in over 30 scientific publications and holds multiple patents in the area of machine learning. Claudia has won many data mining competitions, including the prestigious 2007 KDD CUP on movie ratings, the 2008 KDD CUP on breast-cancer detection, and the 2009 KDD CUP on churn and propensity predictions for telecommunication customers. Claudia received her Ph.D. in Information Systems from Stern School of Business, New York University in 2005 and holds a Master of Computer Science from Colorado University. Claudia is also an accomplished equestrian.

Brian Dalessandro
Brian has over ten years of model building ?and statistical analysis experience in the domains of high energy particle physics, direct marketing, credit scoring, data normalization and social networking. Prior to joining Media6Degrees, Brian managed analytics and modeling for It was there that he developed his skill for modeling relational data in networked structures, which is now core to Media6Degrees methodology. Brian earned a Masters in Statistics from NYU Stern School of Business and has a Bachelor's in Mathematics from Rutgers University. Brian also has crazy drum skills.

We look forward to seeing you there!

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