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DM: New Data Mining Tutorial -- July 12-13 -- San Francisco

From: Armand Prieditis
Date: Wed, 9 Jun 1999 22:09:57 -0400 (EDT)

Data Mining for Profit: How-to, Myths, Secrets, and Pitfalls

A two-day tutorial
July 12-13, 1999
Hyatt Regency
Five Embarcadero Center
San Francisco, California

Are you maximally leveraging your data for profit? Is potentially 
profitable knowledge hidden in your database haystack?

Data mining is the process of predicting a particular outcome given 
It can save you time and money, increase profits, and minimize risk by
leveraging your data. Businesses today are using it to:

  -predict which customers are likely to buy which products when
  -detect fraud earlier to avoid losses
  -improve credit/loan/mortgage risk analysis
  -identify new untapped markets
  -predict which securities to buy/sell when

In today's competitive business environment, understanding and 
technology such as data mining is crucial to maintain a strategic 

This course gives you that edge with a practical, unbiased,
applications-oriented tour of data mining, not just a bagful of 
theory and
vendor-specific techniques.

Upon completion of the course, you will be
able to:

  -Understand what data mining is and which problems in your business 
        benefit most from existing and newly-emerging data mining 
  -Understand how data mining can fail and how to avoid costly 
        commonly made in data mining
  -Understand how to select and integrate a data mining system into 
        business/marketing enterprise

Who Should Attend:

   -Executives who want to understand data mining and how their 
      profit from it.
   -Analysts who want to understand and apply data mining to
      their analysis tasks.
   -Others who can benefit from data mining.

Includes topics not covered elsewhere: temporal (time series or 
data) and spatial (geographic) data mining, e-mining, collaborative 


For more details and secure online registration see
Register early--space is limited.

  ***Technology Tutorials - Bringing the latest technology to 

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