DM: KDD-98 Exhibit Presentations Web Site

[iparsa]

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
(KDD-98):

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.


Yours,
     Ismail


Ismail Parsa
Epsilon
50 Cambridge Street
Burlington MA 01803 USA

E-MAIL: iparsa@epsilon.com
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