DIMACS/IBM Workshop on Data Mining in the Internet Age

May 1 - 2, 2000
IBM - Almaden, San Jose, California

Organizers:

Rakesh Agrawal, IBM, ragrawal@almaden.ibm.com

Joan Feigenbaum, AT&T Labs - Research, jf@research.att.com

Prabhakar Raghavan, Verity Systems, praghava@verity.com

Jeff Ullman, Stanford University, ullman@db.stanford.edu

Workshop Program:

Monday May 1, 2000

8:30 - 9:00:   Coffee and Registration

9:00 - 9:15:   Robert Morris, IBM Almaden Lab Director
               Opening 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

6:00           Workshop Dinner

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

               SLIDES FROM DAN SUCIU'S TALK

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

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