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

[Armand Prieditis]

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

A two-day tutorial
July 12-13, 1999
9AM-5PM
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 
data.
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 
applying
technology such as data mining is crucial to maintain a strategic 
edge.

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

Who Should Attend:

   -Executives who want to understand data mining and how their 
business 
might
      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 
sequential 
data) and spatial (geographic) data mining, e-mining, collaborative 
mining, 

bio-mining.

For more details and secure online registration see 

http://www.tech-tutorials.com.
Register early--space is limited.

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