Courses

KXEN DATA MINING WORKSHOPS focus on a powerful, predictive, and
descriptive data modeling technology that can benefit both data mining
professionals and business decision makers � Vapnik�s
Statistical Learning Theory including the Support Vector Machine (SVM).

YOU WILL LEARN:
* How this powerful technology can instantly transform your data into knowledge
* The Vapnik theory and how it can be applied to modeling techniques such as
classification and regression
* How you can build and interpret robust descriptive and predictive models in a
fraction of the time it takes with traditional methods

YOU WILL TAKE HOME:
* Come with your own data set; create models in seconds or minutes on your laptop and
leave with free evaluation software to use at your office*
* Educational material
* KXEN software documentation and related materials*
* Upon signing an evaluation agreement

Current Dates & Locations (FREE for a limited period of time)
Thu, Sept 27, 2001
San Francisco
9.30 am � 4 pm
Register (FREE)

Thu, Oct 18, 2001
Seattle
9.30 am � 4 pm
Register (FREE)

Thu, Oct 18, 2001
Orlando
9.30 am � 4 pm
Register (FREE)

Tue, Oct 23, 2001
New York
9.30 am � 4 pm
Register (FREE)

Tue, Oct 30, 2001
Chicago
9.30 am � 4 pm
Register (FREE)

Thu, Nov 8, 2001
San Jose
9.30 am � 4 pm
Register (FREE)

Tue, Nov 13, 2001
Washington DC.
9.30 am � 4 pm
Register (FREE)

Tue, Nov 13, 2001
Dallas
9.30 am � 4 pm
Register (FREE)

Tue, Dec 4, 2001
Atlanta
9.30 am � 4 pm
Register (FREE)

Tue, Dec 11, 2001
Los Angeles
9.30 am � 4 pm
Register (FREE)

Wed, Dec 12, 2001
New-Orleans
9.30 am � 4 pm
Register (FREE)

WHO SHOULD ATTEND:
* Data Mining Professionals
* Statisticians
* IT Professionals
* Business Intelligence Professionals
* CRM Managers
* Individuals familiar with classification and regression techniques

INSTRUCTORS� BIO:

* Robert Cooley has a Ph.D. in Computer Science from the University of
Minnesota. Dr.  Cooley has had several years of experience applying
Vapnik theory to a variety of domains. Prior to joining KXEN,
Dr. Cooley was a data mining consultant specializing in CRM and
E-commerce, and has worked for several software startups. Dr. Cooley
has published numerous papers on the topics of Web Mining and Text
Mining and is a member of the ACM and IEEE.

* Nitin Agrawal has several years of experience architecting and
implementing CRM, data warehousing, and data mining systems.  Nitin
has also been involved in product development and management of data
mining workbenches.  Prior to joining KXEN, Nitin has worked with
Epiphany where he successfully managed and implemented several large
scale CRM projects and data warehouses.  Nitin also spend several
years with Urban Science where he was responsible for product
development and management for GainSmarts data mining product.  Nitin
has a masters degree from Vanderbilt University and a bachelor of
engineering from Indian Institute of Technology.

* Kevin Watanabe has a M.S. in Biostatistics from the University of
Hawaii. He is currently a doctoral candidate in Computational
Statistics at the School of Computational Sciences, George Mason
University. Prior to joining KXEN, he was Director of Biostatistics
specializing in pharmaceutical research. For five years he served as
Senior Study Director on studies monitoring the U.S. blood and plasma
supply for retroviruses.  After completing his M.S., he conducted
studies of occupational exposure to carcinogens among veterans exposed
to herbicides, atmospheric nuclear tests, and chemical warfare
agents. He has published and presented numerous biomedical papers and
is a member of SIGKDD, ASA, and the Drug Information Association.

WORKSHOP SCHEDULE:

* 9.30 am � 10 am: Welcome coffee
* 10 am - 1pm: Morning session (overview and theory)
* 1pm � 2pm: Lunch provided by KXEN
* 2pm � 4pm: Afternoon session (hands on training with your data)

REGISTER NOW:

* By contacting Amelle Cloche, Conference Manager, at 415-503-4161 or
WorkshopsUS@kxen.com
* For more info: http://www.kxen.com/workshops
* Tell us the date and location you are interested in. Include the names,
titles, and contact information for individuals who would like to attend
(due to space restrictions, the number
of attendees from a single company may have to be limited).
* We�ll reply with a confirmation and pre-conference materials.

We look forward to seeing you at our workshop.