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       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, IBM, pragh@almaden.ibm.com
Jeff Ullman, Stanford University, ullman@db.stanford.edu

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

The objective of this workshop is to bring together premier
researchers in the area of data mining. As growing amounts of
scientific and business data are warehoused in large data
repositories, there is burgeoning interest in extracting
valuable information latent in these warehouses. The growth of
the internet has led to an explosion in the volume of information
being gathered, as well as to the diversity of researchers from
various backgrounds - from databases, statistics, machine learning
and algorithms - attempting the advance the state of the art in
data mining.

DIMACS and IBM Research are ideally positioned to take the lead
in bringing together these various domains of expertise and
application. IBM Research has a long tradition in pioneering data
mining research, as well as in productizing it and learning from
the marketplace. DIMACS remains the premier institution in drawing
connections between mathematical scientists and application areas
from many domains. By bringing together experts from databases,
statistics, algorithms and machine learning, the workshop aims to
provide a forum for fundamental advances in data mining.
The format of the workshop will be drawn up to reflect the
diversity of interests of the participants, and to develop
synergies through working sessions of various kinds (in addition
to invited lectures from domain experts).

There is no registration fee for this workshop. For information
on registration, accommodations and travel please see:

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

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