[S] KDD-98 Exhibit Presentations Web Site

Thu, 19 Nov 1998 14:20:17 -0500

A web site collecting the KDD-98 Exhibits presentations is now
available on the web at http://www.epsilon.com/new.

The following three exhibit presentations were given at the 4th
International Conference on Knowledge Discovery and Data Mining

Data Mining in the Real World
Gordon Linoff, co-author of Data Mining Techniques
(Data Miners, gordon@data-miners.com)
Friday, August 28, 1998 (4:30-5:15PM)

This presentation discusses the issues of data mining in the real
world. It touches on the relationship of data mining with a data
warehouse (is it really easier?) and on issues related to managing
data and choosing particular techniques.

Data Mining On the Internet
"Overview, Algorithmic Challenges and Applications."
Shivakumar Vaithaynathan (IBM Research, vaithyan@us.ibm.com)
Saturday, August 29, 1998 (12:00-12:45PM)

The advent of the World Wide Web has caused a dramatic increase
in the usage of the Internet. The resulting growth in on-line
information combined with the almost chaotic nature of the web
necessitates the development of powerful yet computationally
efficient algorithms. This presentation provides examples of
applications where data mining could be applied and then focuses
on the algorithmic challenges that go along. New algorithms and
results are provided.

Data Mining Tools
Ismail Parsa (Epsilon, iparsa@epsilon.com)
Saturday, August 29, 1998 (4:30-5:15PM)

The data mining tools marketplace is diverse. There are tools
that offer broad-based data mining capability, tools aimed at
solving the problems of a particular industry, tools combined
with a service offering, black-box tools and vendors/tools offering
custom solutions such as CRM, campaign management, etc. This
presentation segments the data mining tools marketplace then shows
how to differentiate between the many data mining tools for the
best return on investment. Summary results of a real-life data mining
tool evaluation case study are explored and explained.


Ismail Parsa
50 Cambridge Street
Burlington MA 01803 USA

E-MAIL: iparsa@epsilon.com
V-MAIL: (781) 273-0250*6734
FAX: (781) 272-8604

This message was distributed by s-news@wubios.wustl.edu. To unsubscribe
send e-mail to s-news-request@wubios.wustl.edu with the BODY of the
message: unsubscribe s-news