Legend: Palais des congrès de Montréal = CC, Le Westin Montréal = W, Intercontinental Montréal = I
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
Activity Details
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CE_38T | Wed, 8/7/2013, 3:00 PM - 4:45 PM | W-St. Antoine | |
Applied Data Mining Analysis: A Step-by-Step Introduction Using Real-World Data Sets — Continuing Education CTW | |||
ASA , Salford Systems | |||
Instructor(s): Dan Steinberg, Salford Systems | |||
"Attendees will be provided with real-world data mining examples drawn from online advertising and the financial services industries. Data mining is a powerful extension to classical statistical analysis. As opposed to classical techniques, data mining easily finds patterns in data, nonlinear relationships, key predictors and variable interactions that are difficult if not impossible to detect using standard approaches. This tutorial follows a step-step approach to introduce advanced automation technology, including CART, MARS, TreeNet Gradient Boosting, Random Forests, and the latest multi-tree boosting and bagging methodologies by the original creators of CART (Breiman, Friedman, Olshen and Stone). All attendees will receive 6 months access to fully functional versions of the SPM Salford Predictive Modeler software suite. Workshop materials will allow the attendee to reproduce the examples. " |
2013 JSM Online Program Home
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