DIMACS MiniWorkshop Exploring Large Data Sets Using Classification, Consensus, and Pattern Recognition Techniques: Program

Thursday, May 29, 1997 

 Morning Session I, 
    (Chair - Buck McMorris) 

 8:15 - 8:50  Continental Breakfast at DIMACS

 8:50 - 9:00  Welcome to DIMACS, Fred Roberts, DIMACS Director

 9:00 - 9:25  Jaime Cohen, Dept. of Computer Science, Rutgers University
              "Pivot Algorithms for Clustering"

 9:30 - 9:55  Lenore Cowen, Dept. of Math. Sc., Johns Hopkins University
              "Approximate Distance Methods for Clustering 
              High-Dimensional Data"

10:00 - 10:25 Boris Mirkin, DIMACS
              "Approximation clustering as a framework for solving 
              challenging problems in processing of massive data sets"

10:30 - 11:00 Coffee


11:00 - 11:25 Peter Hammer, RUTCOR, Rutgers University
              "Convexity in Logical Analysis of Data (LAD)"

11:30 - 11:55 Pierre Hansen,  GERAD, Montreal
              "Large scale clustering by variable neighborhood search"

 Noon - 2:00  Lunch at DIMACS


 Afternoon Session I,
    (Chair - Boris Mirkin) 

 2:00 - 2:25  Yann LeCun, AT&T Labs 
              "Neural Networks and other numerical learning techniques 
              for pattern recognition in large data sets"

 2:30 - 2:55  Simon Streltsov, Alphatech Inc.
              "Traffic behavior pattern analysis"

 3:00 - 3:25  Nate Dean, Bell Labs
              "A Measure for Analyzing Group Interaction"

 3:30 - 4:00  Coffee

 4:00 - 4:25  Vladimir Yancher, Cross/Z Intl., CA
              "Multidimensional visualization using rectangles 
              for business applications"

 4:30 - 4:55  Bill Shannon, Washington University School of Medicine, MO
              "Clustering in Large Biomedical Databases"

 5:00 - 5:25  Discussion, questions for previous speakers, etc.

 5:30 - 7:00  Reception


Friday, May 30, 1997

 Morning Session II,
    (Chair - Sorin Istrail) 

 8:15 - 9:00  Continental Breakfast at DIMACS

 9:00 - 9:25  Mark Stitson, Univ. of London
              "Function approximation using SV Machines"

 9:30 - 9:55  Moses Charikar, Stanford University   
              "Incremental Clustering and Dynamic Information Retrieval"

10:00 - 10:25 Alex Meystel, NIST, Washington, DC
              "Algorithms of Unsupervised Learning for Organizing and 
              Interpreting Large Data Sets"

10:30 - 11:00 Coffee

11:00 - 11:25 Dan Daly, The Lubrizol Corporation, OH
              "Predicting Intake Valve Deposits:  A Joint QSAR Project
	      Between LZ and Purdue University Employing Neural Networks 
	      and First Principles Modeling"

11:30 - 11:55 Haym Hirsh, Dept. of Computer Science, Rutgers Univ.
              "Learning to Predict a User's Next Command"

 Noon - 1:30  lunch at DIMACS

 Afternoon Session II,
    (Chair - TBA) 

 1:30 - 1:55  David Ozonoff, Boston Univ.
              "Environmental Epidemiology: A Natural Application 
              for Discrete Mathematics"

 2:00 - 2:25  David Banks, Dept. of Statistics, Carnegie Mellon University
              "Superlarge Datasets:  Three Problem Areas"

 2:30 - 2:55  Vyacheslav Mazur, Cross/Z Intl. 
              "Pareto distributions in business modeling"

 3:00 - 3:30  Coffee

 3:30 - 3:55  Corinna Cortes, AT&T Labs
              "Tracking STARS in the Universe"

 4:00 - 4:25  Christopher Landauer, The Aerospace Corporation
              "Thar She Blows!": Analysis of Yellowstone Geyser Eruptions"

 4:30 - 4:55  Sorin Istrail, Sandia National Laboratories
              "Multiple Alignment of Biomolecular Sequences and 
              Voting Paradoxes"

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