AT&T Research at KDD-2011 (Knowledge Discovery and Data Mining)

Aug 21 - 24, 2011

San Diego, California

Contact: Graham Cormode

AT&T Research is presenting three papers, including a KDD Cup Workshop paper detailing the methods used by AT&T Researchers to analyze the Yahoo! music data set and predict users' tastes in music. AT&T researchers placed 6th in the competition.

 

Mining and Learning with Graphs 2011 (MLG 2011)
Held in conjunction with KDD-2011, August 20-21:

Yu Jin (University of Minnesota) - presenting, Nick Duffield, Patrick Haffner, Subhabrata Sen, Zhi-Li Zhang (University of Minnesota)

Can’t See Forest through the Trees? Understanding Mixed Network Traffic Graphs from Application Class Distribution

August 20, 2011 at 04:30 PM

 

KDD Cup Workshop:
Suhrid Balakrishnan, Rensheng Wang, Carlos Scheidegger - presenting, Angus Maclellan, Yifan Hu, Aaron Archer

Combining Predictors for Recommending Music: the False Positives' approach to KDD Cup Track 2

August 21, 2011 at 10:00 AM

 

Poster session: Graham Cormode

Individual Privacy vs Population Privacy: Learning to Attack Anonymization

August 22, 2011 at 10:00 AM

 

Unsupervised Learning Session:
David Applegate, Tamraparni Dasu, Shankar Krishnan - presenting, Simon Urbanek

Unsupervised Clustering of Multidimensional Distributions using Earth Mover Distance

August 23, 2011 at 04:30 PM