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