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.


David Banks, Duke University

Title: Introduction to Data Mining

This provides an introduction to data mining, especially in the context of clustering and classification. The treatment generally follows the development in Hastie, Tibshirani, and Friedman's _The Elements of Statistical Learning_, with some excursions into issues such as Random Forests, robustness, and local dimensionality. The tutorial assumes a knowledge of statistics comparable to a weak master's degree, several years ago.

Fionn Murtagh, Royal Holloway, University of London

Title: Tutorial on Cluster Analysis, Part 1: Elementary, Part 2: Advanced Topics

This tutorial will survey the state of the art in clustering algorithms for real world applications in science, engineering and other fields.

We introduce cluster analysis, describing widely used application-motivated approaches. We focus on representation and display, and on computational aspects of clustering, in particular hierarchical clustering. Of particular importance to us is the clustering of massive datasets.

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Document last modified on April 11, 2006.