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.

Contributed Papers:

Dimension Reduction Problem: A Version of PARAMAP Extended to Deal With Large Data Sets
Ulas Akkucuk, Bogazici University, Istanbul, Turkey and
J. Douglas Carroll, Rutgers Business School 

Graphical Modeling of Coded Text Data:  Modeling and Measurement of Empathy
Carolyn J. Anderson, University of Illinois

Comparison of Classification Methods to Predict Complications to Liver Surgery
Leah Ben-Porat, Memorial Sloan-Kettering Cancer Center, Mithat Gonen, and William Jarnigan

Robust Partial Least Squares Logistic Regression
for High Dimensional Data
Nedret Billor and Asuman Seda Turkmen, Auburn University

Analyzing the Supreme Court Justice Decisions using Multidimensional 
Scaling (MDS) and Parametric Mapping (PARAMAP)
Stephen France and J Douglas Carroll, Rutgers University

Cluster Analysis using Different Correlation Coefficients
Seong S. Chae, Daejeon University, Daejeon, South Korea

Fitting Directed Tree Graphs to Asymmetric Proximities
James E. Corter, Teachers College, Columbia University

ACA Similarity Analysis Re-examined
David Dubin, University of Illinois at Urbana-Champaign

Standard Errors, Prediction Error and Model Tests in Additive Trees 
Willem J. Heiser, Leiden University, The Netherlands 

Distance Based Probabilistic Clustering of Data 
Cem Iyigun, Rutgers University

Learning and Classification in Networked Data
Sofus A. Macskassy, Fetch Technologies, Inc. 

Using Scan Statistics for Anomaly Detection in Genetic Networks
Christopher Overall, George Mason University

Using Cluster Analysis to Relate Subjective and Objective 
Pharmacovigilance Association Measures
Ronald Pearson, ProSanos Corporation

Distibuted Least-Squares Classification in Wireless Sensor Networks 
Joel Predd, Princeton University

Natural Requirements to Classification Methods
Alexander Rubchinsky

A Comparison of One Heuristic and One Globally Optimal
Unidimensional Scaling Technique
Leslie Rutkowski, University of Illinois at Urbana-Champaign

A Likelihood Approach for Determining Cluster Number
William D. Shannon, Washington University in St. Louis School of Medicine

Using Data Mining Tools in an Urban Development Study
Chamont Wang, The College of New Jersey, and 
Pin-Shuo Liu, William Paterson University

The Longest Ultraconserved Sequences and Evolution
of Vertebrate Mitochondrial Genomes
Fang Weiwu, Chinese Academy of Sciences, Beijing, China

WoW!: The dynamics of knowledge networks in Massively Multiplayer
Online Role Playing Games (MMORPG)
Bethany Wotal, Hank Green Jr., and Dmitri Williams, 
University of Illinois at Urbana-Champaign

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Document last modified on April 3, 2006.