CSNA 2007 Meeting Schedule The 2007 Meeting of the Classification Society of North America is Sponsored by National Center for Supercomputing Applications, the UIUC College of Education, Department of Computer Science, and the Graduate School of Library and Information Science. Special thanks also to CRC Press and to Wolfram Research. All events are at NCSA, 1205 W. Clark Street, Urbana, except where noted. Thursday, June 7 1:00pm-4:45pm Room 1030. Short Course: Introduction to Classification and Clustering 6:00-9:00pm Joint DH/CSNA Reception (NCSA lobby) Friday, June 8. 8:30am-10:00am Auditorium. CSNA/DH Workshop on Data Analysis in the Humanities. Panelists: D. J. Birnbaum, D. Dubin, D. L. Hoover. 10:00am-10:10 Auditorium. Opening Remarks. D. Dubin, C. Anderson. M. Janowitz 10:10-10:30 break 10:30-12:00 Room 1030 Session F1: Text and Document Analysis. Chair: V. Torvik. B. Chee, B. Schatz. Modularity Clustering for Thematic Document Clustering. D. L. Hoover. Text Classification with Customized Word Lists: Delta-Lz and Delta-Oz V. I. Torvik, N. R. Smalheiser. Author name disambiguation in MEDLINE: results from first-pass clustering 10:30-12:00 Room 1040 Session F2: Contributed Papers. Chair: B. Harris. B. Harris. A Useful Combinatorial Lemma and Some Applications R. VanDyke, K. Viele, R. Cooper. Classification of Self-Modeling Regressions. A. Albatineh, M. Niewiadomska-Bugaj, D. Mihalko. On Similarity Indices and Correction for Chance Agreement. 12:00-1:30 Lunch break 1:30-3:00 Room 1030 Session F3 Applications in Music. Chair: D. Dubin. X. Hu, J. S. Downie. Constructing A Music Mood Taxonomy By Clustering J. H. Lee. Analysis of Information Features in Natural Language Queries Seeking Music D. K. Tcheng. A Scalable Approach to Clustering Massive Audio Catalogs. 1:30-3:00 Room 1040 Session F4 Contributed Papers. Chair: W. Heiser A. Turkmen, N. Billor. Robust Partial Logistic Regression (RoPLR) H. Köhn. Avoiding Degeneracy in Multidimensional Unfolding by Combinatorial Optimization. U. Akkucuk, J. D. Carroll. Dimension Reduction Using a Hybrid of PARAMAP and Isomap Procedures. 3:00-3:15 Break 3:15-4:45 Room 1030 Session F5 Contributed Papers. Chair: M. Janowitz M. D. Larsen. Logistic Regression using Fractional Imputation for Missing Data D. Steinley, L. Hubert. Order-Constrained Solutions in K-Means Clustering: Even Better Than Being Globally Optimal C. Chiu, J. Douglas. Connections between K-Means Cluster Analysis and Restricted Latent Class Models. 3:15-4:45 Room 1040 Session F6 Contributed Papers. Chair: C. Anderson P. Hadjicostas. One-sided Elasticities and Technical Efficiency in Multi-output Production: A Theoretical Framework B. Dohleman, H. D. Green Jr., D. Williams, N. Contractor. Putting Some 'WoW' into Modeling Longitudinal Networks. A. Brenning. Challenges in the classification of spatial data 6:00pm Room 131 LIS Building CSNA Board meeting Saturday, June 9 9:00am-10:00 NCSA Auditorium, Keynote Address: Michael Kurtz. The Astronomical Information Network 10:00-10:30 Break 10:30-12:30 Room 1030 Session S1 Contributed Papers. Chair: D. Dubin P. McCullagh and J. Yang. How Many Clusters? R. Nugent, W. Stuetzle, X. Fei. Visualizing Clusters with a Density-Based Similarity Measure. P. Ma. Large Scale Functional Data Clustering N. Billor, A. Abebe, A. Turkmen, S. Nudurapati. Influence analysis in Depth Transvariation based Classification. 10:30-12:30 Room 1040 Session S2 Contributed Papers. Chair: A. Kendall P. Contreras and F. Murtagh. Evaluation of Hierarchies based on the Longest Common Prefix, or Baire, Metric J. Verkuilen, M. Smithson. Beta-Distributed Generalized Linear Mixed Models. H. Yu. Multilevel Latent Markov Models for Discrete Longitudinal Data M. de Rooij. Trend vector models for multiple groups in continuous time. 12:30-1:50pm Lunch Break 1:50-2:30 Room 1030 Invited Talk: Guy Lebanon, Non-Parametric Modeling of Partially Ranked Data 2:30-4:00 Room 1040 Session S3 Data Mining and Machine Learning. Chair: F. R. McMorris E. Hooper. Intrusion Detection and Response using Effective Data Mining Techniques: Classification, Clustering and Data Analysis in Intrusion Information Retrieval. K. J. Archer. An ordinal impurity function for classification trees when predicting an ordinal response. D. Cai. Classification of Massive, Structured Data: Research Progress @ Data Mining Group.CS.UIUC 2:30-4:00 Room 1030 Session S4 Brain Sciences. Chair: W. Shannon. W. Shannon. Objective Measurement of Fatigue in HIV/AIDS Using Actigraphy and Functional Data Analysis. H. Ombao, R. Ho. Discrimination and Classification of Non-Stationary Brain Signals Using Higher Order Spectral Analysis. M. Hersh, K. Viele, and R. Cooper. Identification of Multiple Functional Peaks resulting from a Common Peak Shape Function 4:00-5:00 NCSA Lobby, Student Poster Session 6:00pm-10:00pm Illini Union, CSNA Banquet Sunday, June 10 9:00am-10:30 Room 1030, Session SN Social Networks. Chair: C. Anderson H. Ahn, C. Garandeau. How are bullies and victims embedded in the classroom peer network? : Factors linked to the heterogeneity of their structural embeddedness P. C. Rodkin, H. Ahn. An evaluation of social cognitive mapping procedures for identifying middle childhood social networks P. C. Rodkin and T. Wilson. Racially integrated social networks among African- and European-American elementary children across differing classroom contexts 10:30-:10:45 break 10:45-11:15 Room 1030 CSNA Membership Meeting 11:30 Close of Meeting.