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
Co-sponsored by DIMACS and IBM Deep Computing Institute.

Presented under the auspices of the Special Focus on Next Generation Networks Technologies and Applications and the Special Year on Networks.

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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Document last modified on July 12, 2000.