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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