MEETING ANNOUCEMENT -- CSNA2006 This is the annual meeting of the Classification Society of North America. (CSNA). The dates: May 10-13, 2006. The place: DIMACS, Rutgers University, Piscataway, NJ. The theme: Network Data Analysis and Data Mining: applications in Biology, Sociology, Computer Science, Intrusion Detection, and Other Areas. Further information about the meeting may be obtained by email from [log in to unmask] Proposals for special sessions, contributed papers and invited speakers are welcome and may be submitted via this email address. The deadline for submissions is February 25, 2006. All submissions will be acknowledged no later than April 10, 2006 This meeting will be held partly as a joint meeting with the DIMACS workshop "Clustering Problems in Biological Networks" that is being held May 9-11, 2006 at DIMACS. http://dimacs.rutgers.edu/Workshops/Clustering/ Both DIMACS and the CSNA cordially invite you to participate in these meetings. Registration for the CSNA meeting alone is welcome, and there will also be a special combined rate available for people wishing to attend both events. The meeting is cosponsored by the Institute of Mathematical Statistics. The general theme involves data analysis of various types of networks, and as is typical in DIMACS sponsored events, there will be a strong emphasis on interdisciplinary approaches that will include ideas from discrete mathematics, statistics, and computer science. Background material will be provided by means of tutorials and expository talks; presentations involving solutions of real world problems will be encouraged. The formation of research alliances for future work is welcome. CSNA meetings are traditionally informal and interdisciplinary. The annual meeting of CSNA will be held as part of this meeting, as will the meeting of its Board of Directors. The organizers of the meeting are especially interested in the inclusion of a wide variety of contributed papers involving applications and theory for classification, clustering and related methodologies as they might apply to topics related to the theme of the meeting. There will be ample opportunity for informal discussions and the exploration of new research ideas. Current invited speakers include Sanjoy Dasgupta, University of California at San Diego Active learning of linear separators Casimir Kulikowski, Rutgers University Clustering and Machine Learning over Genomic Databases with Underlying (Network or Tree) Structure Christina Leslie, Columbia University Multi-class protein classification using string kernels and adaptive codes David Madigan, Rutgers University Incorporation of extra-data sources in predictive modeling Fionn Murtagh, University of London Identifying and exploiting ultrametricity Panos Pardolos, University of Florida Data Mining and Network Models of Massive Datasets Sal Stolfo, Columbia University Unsupervised anomaly detection in computer security Two tutorials are planned. One would be on cluster analysis given by Fionn Murtagh, and the other one is still to be determined. Organizers of special sessions include Stephen Hirtle, University of Pittsburgh Rebecka Jornnsten, Rutgers University Paul Kantor, Rutgers University Jon Kettenring, Telcordia Technologies Regina Liu, Rutgers University Douglas Steinley, University of Missouri Stanley Wasserman, Indiana University The meeting itself is organized by Mel Janowitz of DIMACS. The program committee includes David Banks, Stanley Sclove and William Shannon. Our apologies for duplicate notifications.