Meetings

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IBM Almaden Research Center, San Jose, California

We invite you to participate in the DIMACS/IBM Workshop on Data Mining to
be held at the IBM Almaden Research Center on May 1-2, 2000.  Appemded
below is the tentative program for the workshop.  There is no registration
fee and the workshop is open to all interested in data mining research.
However, attendance is limited to available space and you must be
pre-registered to attend.  Further information is available at:

http://dimacs.rutgers.edu/Workshops/DataMining/

Look forward to seeing you at Almaden,

Rakesh Agrawal, Joen Feigenbaum, Prabhakar Raghavan, Jeff Ullman

Workshop Program:
Monday May 1, 2000

8:30 - 9:00:   Coffee and Registration

9:00 - 9:15:   Welcoming Remarks

9:15 - 10:00:  Jon Kleinberg, Cornell University
               Classification with Pairwise Relationships:
               Metric Labeling and Markov Random Fields

10:00 - 10:45: Sergei Brin, Google.com
               Google and the Importance of Search

10:45 - 11:00: Break

11:00 - 11:45: Heikki Mannila, Nokia and Helsinki University
               Combining Combinatorial and Probabilistic Methods in
Datamining

11:45 - 12:30: Tom Mitchell, CMU and Whizbang! Labs
               Combining Labelled and Unlabelled Data for Web Mining

12:30 - 1:30:  Lunch

1:30 - 2:15:   Shalom Tsur, Surromed
               What have I learned at Surromed?

2:15 - 3:00:   Simon Kasif, Compaq Cambridge Research Laboratory and MIT
Genome Center
               Mining Biological Databases: From Gene Finding to Drug
Discovery

3:00 - 3:30:   Break

3:30 - 4:15:   Michael Vogeley, Drexel University
               Massive Data Sets in Astronomy

4:15 - 5:00    Ramakrishnan Srikant, IBM Almaden Research Center
               Privacy-preserving Datamining


Tuesday May 2, 2000

8:30 - 9:00:   Coffee and Registration

9:00 - 9:45:   Ronny Kohavi, Blue Martini
               Mining E-Commerce Data: Challenges and Stories from the
Trenches

9:45 - 10:30:  Rajeev Motwani, Stanford University
               Musings on Extraction of Structure from the Web

10:30 - 10:45  Break

10:45 - 11:30: Jerry Friedman, Stanford University
               Predictive Datamining with Multiple Additive Regression
Trees

11:30 - 12:15: Shinichi Morishita, University of Tokyo
               Association Rules, Boosting, and Genome Mining

12:15 -  1:30: Lunch

1:30 - 2:15:   Tomasz Imielinski, Rutgers University
               Cubegrades: Generalizing Association Rules

2:15 - 3:00:   Jiawei Han, Simon Fraser University
               Mining Frequent Patterns without Candidate Generators

3:00 - 3:30:   Break

3:30 - 4:15:   Dan Suciu, AT&T Labs - Research
               Using Datamining for XML Data Storage and Compression

4:15 - 5:00:   Surajit Chaudhuri, Microsoft Research
               Integration of Data Mining and Relational Databases

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