DM: DIMACS/IBM Workshop on Data Mining in the Internet Age (May 1-2, 2000)

DIMACS/IBM Workshop on Data Mining in the Internet Age
May 1 - 2, 2000
IBM Almaden Research Center, San Jose, California

We invite your participation 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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