Classification Society of North America 2006 Meeting on Network Data Analysis and Data Mining:
Applications in Biology, Computer Science, Intrusion Detection, and Other areas

May 10 - 13, 2006
DIMACS Center, Rutgers University, Piscataway, NJ

Mel Janowitz, DIMACS,
David Banks, Duke University, (IMS Representative)
Program Committee:
David Banks, Duke University,
Stanley L. Sclove, University of Illinois at Chicago,
William Shannon, Washington University School of Medicine,
The Classification Society of North America (CSNA)

This meeting will be held partly as a joint meeting with the DIMACS workshop on Clustering Problems in Biological Networks May 9 - 11, 2006.
The CSNA meeting is co-sponsored by The Institute of Mathematical Statistics.

Invited Speakers:

Active learning of linear separators
Sanjoy Dasgupta, UCSD

Proximity and Remoteness in Social Networks
Pierre Hansen, GERAD, Montreal, Canada 

Clustering and Machine Learning over Genomic Databases with 
Underlying (Network or Tree) Structure
Casimir Kulikowski, Rutgers University

Multi-class protein classification using 
string kernels and adaptive codes
Christina Leslie, Columbia University

The Power of the Prior: Improving Predictive Performance with Extra-data Knowledge
David Madigan, Rutgers University

Identifying and exploiting ultrametricity
Fionn Murtagh, University of London

Data Mining and Network Models of Massive Datasets
Panos Pardalos, University of Florida

Unsupervised anomaly detection in computer security
Sal Stolfo, Columbia University

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Document last modified on April 11, 2006.