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.
Wednesday, May 10, 2006 1:00 - 5:00 Tutorials. - Room 431 1:00 - 2:45 Tutorial A: Introduction to Data Mining Tutorial slides David Banks, Duke University 3:15 - 5:00 Tutorial B: Cluster Analysis for Data Mining: A Survey of Algorithms, and a Deeper Look at Input Data Coding, and Computational Efficiency Tutorial slides Fionn Murtagh, Royal Holloway, University of London 6:30 - 8:30 Reception at Holiday Inn Thursday, May 11, 2006 8:00 - 8:35 Breakfast and registration 8:35 - 8:45 Opening welcome Fred Roberts, DIMACS Director 8:45 - 10:15 Session T1. Invited Talks - 1st Floor Lecture Hall Session chair: Melvin Janowitz 8:45 - 9:25 Data Mining and Network Models of Massive Datasets Panos Pardalos, University of Florida 9:30 - 10:10 Multi-class protein classification using string kernels and adaptive codes Christina Leslie, Columbia University 10:15 - 10:45 Break 10:45 - 12:15 Session T2. Invited Session - 1st Floor Lecture Hall Session organizer: Paul Kantor, Rutgers University Author Identification 10:45 - 11:15 Identifying Authors and Authors' Styles David Hoover, NYU 11:15 - 11:45 Simulated Entity Resolution: DIMACS Work on the KDD Challenge of 2005 Aynur Dayanik, Dmitriy Fradkin, Paul Kantor, David Lewis, David Madigan,and Fred Roberts, Rutgers University 11:45 - 12:15 The Words of Our Lives: Analyzing Age-and Sex-Linked Language Variation in the Blogosphere Shlomo Argamon, Moshe Koppel, James W. Pennebaker, and Jonathan Schler, Illinois Institute of Technology 10:45 - 12:15 Sessiom T3. Contributed Papers - Room 431 Chair: Bernie Harris 10:45 - 11:15 Comparison of Classification Methods to Predict Complications to Liver Surgery Leah Ben-Porat, Memorial Sloan-Kettering Cancer Center 11:15 - 11:45 Self-Organizing Maps for Brain Electrical Activity Classification Wei Zeng, Rutgers University 11:45 - 12:15 Using Scan Statistics for Anomaly Detection in Genetic Networks Christopher Overall, George Mason University 12:15 - 1:30 Lunch 1:30 - 3:30 Session T4 Joint Session from Dimacs Workshop on Biological Networks Session chair: Claudia Perlich 1:30 - 2:00 Protein Cluster Analysis via Directed Diffusion Yosi Keller, Yale University 2:00 - 2:30 Learning and Classification in Biological Data Sofus Macskassy, Fetch Technologies, Inc. 2:30 - 3:00 Information-Based Clustering Gurinder Singh Atwal, Princeton University 3:00 - 3:30 Classification vs Clustering, Analyzing Gene Functionality Claudia Perlich, IBM T.J. Watson Research Center 3:30 - 3:45 Break 3:45 - 4:45 Session T5. Contributed Papers- 1st Floor Lecture Hall Session chair: Panos Paradalos 3:45 - 4:15 Using Cluster Analysis to Relate Subjective and Objective Pharmacovigilance Association Measures Ronald Pearson, ProSanos Corporation 4:15 - 4:45 Distance Based Probabilistic Clustering of Data Cem Iyigun, Rutgers University 6:00 CSNA Executive Board Friday, May 12, 2006 8:00 - 8:50 Breakfast and registration 8:50 - 9:00 Opening remarks Melvin Janowitz, DIMACS Associate Director 9:00 - 10:25 Session F1 Invited Talks - 1st Floor Lecture Hall Session chair: Fionn Murtagh 9:00 - 9:40 Unsupervised anomaly detection in computer security Sal Stolfo, Columbia University 9:45 - 10:25 Incorporation of extra-data sources in predictive modeling David Madigan, Rutgers University 10:30 - 11:00 break 11:00 - 12:30 Session F2 Invited paper session - 1st Floor Lecture Hall Session organizer: Rebecka Jornsten, Rutgers University Clustering and classification in computational biology 11:00 - 11:30 Predicting and analyzing protein interaction networks Mona Singh, Princeton University 11:30 - 12:00 Nonparametric Pathway-Based Regression Models for Analysis of Genomic Data Hongze Li, University of Pennsylvania 12:00 - 12:30 Clustering and classification in computational biology Rebecka Jornsten, Rutgers University 11:00 - 12:30 Session F3 Contributed paper session- Room 431 Session chair: Art Kendall 11:00 - 11:30 Using Data Mining Tools in an Urban Development Study Chamont Wang, The College of New Jersey, and Pin-Shuo Liu, William Paterson University 11:30 - 12:00 Graphical Modeling of Coded Text Data: Modeling and Measurement of Empathy Carolyn J. Anderson, University of Illinois 12:00 - 12:30 An application of combinatorial methods introduced for verification of cluster analyses Bernie Harris, Process Automation Controls, Corp. 12:30 - 1:40 Lunch 1:40 - 2:20 Session F4 Invited Talk - 1st Floor Lecture Hall Session chair: David Banks 1:40 - 2:20 Active learning of linear separators Sanjoy Dasgupta, UCSD 2:20 - 2:45 Break 2:45 - 4:45 Session F5 Invited paper session - 1st Floor Lecture Hall Session organizer: Stanley Wasserman, Indiana University Networks and Classification 2:45 - 3:15 Computational Framework for Analysis of Dynamic Social Networks Tanya Berger-Wolf, University of Illinois - Chicago 3:15 - 3:45 Path-based Sampling and Inference in the Internet: Implications of Network Structure Eric Kolaczyk, Boston University 3:45 - 4:15 Clusterwise p* regression for social networks Douglas Steinley, University of Missouri 4:15 - 4:45 Goodness of fit of social network models David Hunter, Penn State University 2:45 - 4:45 Session F6 Contributed paper session - Room 431 Session chair: Carolyn Anderson 2:45 - 3:15 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 3:15 - 3:45 Analyzing the Supreme Court Justice Decisions using Multidimensional Scaling (MDS) and Parametric Mapping (PARAMAP) Stephen France and J Douglas Carroll, Rutgers University 3:45 - 4:15 Comparison of One Heuristic and One Globally Optimal Unidimensional Scaling Technique Leslie Rutkowski, University of Illinois at Urbana-Champaign 4:15 - 4:45 Cluster Analysis using Different Correlation Coefficients Jong-Min Kim, University of Minesota at Morris 7:00 - 9:30 Banquet at Holiday Inn Saturday, May 13, 2006 8:00 - 8:50 Breakfast and registration 8:50 - 9:00 Opening remarks Melvin Janowitz, DIMACS Associate Director 9:00 - 10:25 Session S1. Invited talks - 1st Floor Lecture Hall Session chair: Jim Rohlf 9:00 - 9:40 Finding relations between social network invariants with AutoGraphiX Pierre Hansen, GERAD, Montreal, Canada 9:45 - 10:25 Clustering and Machine Learning over Genomic Databases with Underlying (Network or Tree) Structure Casimir Kulikowski, Akshay Vashisht, Ilya Muchnik, Rutgers University 10:30 - 11:00 break 11:00 - 12:30 Session S2. Invited paper session - 1st Floor Lecture Hall Session Organizer: Jon Kettenring, Drew University Weights and Metrics for Cluster Analysis 11:00 - 11:30 A New Variable Weighting and Selection Procedure for K-means Cluster Analysis Douglas Steinley, University of Missouri-Columbia 11:30 - 12:00 Strategies for Scaling and Weighting Variables in Cluster Analysis Srinivas Maloor, Rutgers University 12:00 - 12:30 An Improved Distance Measure Between the Expression Profiles Linking Co-Expression and Co-Regulation in Mice Ryung S. Kim, Harvard Medical School 11:00 - 12:30 Session S3. Contributed paper session - Room 431 Session chair: David Dubin 11:00 - 11:30 Learning and Classification in Networked Data Sofus A. Macskassy, Fetch Technologies, Inc. 11:30 - 12:00 Distibuted Least-Squares Classification in Wireless Sensor Networks Joel Predd, Princeton University 12:00 - 12:30 ACA Similarity Analysis Re-examined David Dubin, University of Illinois at Urbana-Champaign 12:30 - 1:00 CSNA membership meeting 12:30 - 2:00 Lunch 2:00 - 2:40 Session S4. Invited Talk - 1st Floor Lecture Hall Session chair: Melvin Janowitz Fionn Murtagh, University of London Identifying and exploiting ultrametricity 2:40 - 3:00 break 3:00 - 4:30 Session S5. Contributed paper session - 1st Floor Lecture Hall Session chair: William D. Shannon 3:00 - 3:30 Standard Errors, Prediction Error and Model Tests in Additive Trees Willem J. Heiser, Leiden University, The Netherlands 3:30 - 4:00 A Likelihood Approach for Determining Cluster Number William D. Shannon, Washington University in St. Louis School of Medicine 4:00 - 4:30 Fitting Directed Tree Graphs to Asymmetric Proximities James E. Corter, Teachers College, Columbia University
Publishers booths offering conference discounts on books: Springer, Taylor & Francis