Transcript Slide 1
Welcome to the 2004 SIAM Data Mining Conference Chandrika Kamath David Skillicorn Conference Cochairs CONFERENCE OVERVIEW Graves MEDICAL ANALYSIS Saturday Senator COMPUTER SECURITY TUTORIALS Friday Page TOP TEN MISTAKES KEYNOTES Thursday Bishop INDUSTRY /GOVT Posters and reception •Bioinformatics •Clustering High Dimensional Data and its Applications •High Performance and Distributed Mining •Data Mining in Resource Constrained Environments •Link Analysis, Counter-terrorism, and Privacy •Mining Scientific and Engineering Datasets Thanks to…. Our program chairs: Mike Berry and Umesh Dayal Tutorial chair: Srini Parthasarathy Workshop chair: Hillol Kargupta Publicity chairs: Aleks Lazarevic Saso Dzeroski John Roddick Local arrangements chair: Morgan Wang and the SIAM staff Also thanks to our sponsors: IBM Research NASA American Statistical Association University of Minnesota Center for Applied Scientific Computing/Lawrence Livermore National Laboratory 2004 SIAM International Conference on Data Mining - Paper Statistics Program Co-Chairs: Umeshwar Dayal (HP) Michael W. Berry (Tennessee) April 22, 2004 Paper Statistics Number of papers reviewed Number of reviews per paper Number of full papers accepted Number of student papers accepted Number of poster papers accepted Acceptance ratio (full/student) Acceptance ratio (full/student/poster) 161 5 26 12 23 23.6% 37.8% • Student papers were not distinguished from full papers during review phase. • SDM04 Program Committee - 90 scholars (US and abroad) Lead Author Demographics - Submitted Country # Submissions Country Australia 10 Japan Brazil 3 New Zealand Canada 6 Portugal China 5 Spain Finland 1 Sweden France 3 Taiwan Germany 8 Turkey Hong Kong 3 UK India 2 USA Ireland 1 # Submissions 4 1 1 1 1 9 1 2 99 161 Lead Author Demographics - Accepted Country Full Papers Student Papers Australia 1 0 Canada 1 1 Finland 0 0 France 1 0 Germany 3 0 Hong Kong 1 0 Japan 1 0 Portugal 1 0 Taiwan 1 1 USA 16 10 26 12 Poster Papers 2 1 1 0 1 2 0 0 1 15 23 • Cancelled paper: Mining Relationships Between Interacting Episodes Carl Mooney, John Roddick (Flinders U., Australia) – Stream and Sequence Mining 10:00am this morning; first talk of session starts at 10:30am.) Best Paper Awards Best Algorithms Paper: Clustering with Bregman Divergences, Arindam Banerjee (Univ. of Texas, Austin), Srujana Merugu (Univ. of Texas, Austin), Inderjit Dhillon (Univ. of Texas, Austin), Joydeep Ghosh (Univ. of Texas) Probabilistic/statistical Methods I (Friday, 10:00am) Best Applications Paper: Enhancing Communities of Interest using Bayesian Stochastic Blockmodels, Deepak Agarwal (AT&T Laboratories - Research), Daryl Pregibon (AT&T Labs) Novel Applications (Friday, 3:00pm) Best Student Paper: Non-linear Manifold Learning For Data Stream, Martin H. C. Law (Michigan State University), Nan Zhang (Michigan State University), Anil Jain (Michigan State University) Stream and Sequence Mining (Thursday, 10:00am)