Date: Sun, 04 Jul 1999 11:51:37 +0100
From: John Shade js@gdl.co.uk
Subject: Data Mining with Decision Trees, London 8-10 September, 1999
Data Mining with Decision Trees- an Introduction to CART, by Dan Steinberg,
9am-5pm, 8-9 September ( #540 )
A popular two-day seminar for business users and data analysts
who are interested in understanding decision-tree technology -
what it is, why it works, how it has been used, and how it can
help you better understand your data.
Day 1, learn about:
decision tree fundamentals
decision tree applications
how to build and interpret CART trees
how to use advanced options - alternative splitting rules,
prior probabilities, differential
costs of misclassification - to construct more robust
predictive models
Day 2: put what you have learned to the test on your own data
during a hands-on CART session
Data Mining with Decision Trees - Advanced CART� Techniques
9am-5pm, 10 September, ( #660 )
Sharpen your decision-tree expertise during this one-day advanced
course for analysts with prior knowledge of tree
algorithms. Using case studies, seminar topics include:
hybridising decision trees with logistic regression and neural nets
combining multiple trees via bagging, boosting, repeated
sampling and varying priors
understanding the strategy behind alternative splitting
rules and their strengths and weaknesses
how CART implements variable costs of missclassification -
separating growing with costs from pruning with costs
emerging topics in decision trees - highlights of recent
developments
For more information, see http://www.gdl.co.uk/Septembe.htm#8sept
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