JSM 2011 Online Program

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CE_35T	Wed, 8/3/2011, 3:00 PM - 4:45 PM	HQ-Poinciana Salon 3
Advances in Tree-Based Modeling Tools, Data Mining, Predictive Analytics, and Modeling Automation Technology: Introduction to SPM, Salford Predictive Modeler — Continuing Education CTW
ASA , Salford Systems
Instructor(s): Mikhail Golovnya
This tutorial will introduce SPM, Salford Systems' Predictive Modeling Suite. SPM incorporates advanced automation technology and includes CART, MARS, TreeNet, Random Forests, and the latest multi-tree boosting and bagging methodologies by the original creators of CART (Breiman, Friedman, Olshen and Stone). SPM technologies span classification, regression, hotspot analysis, variable interaction detection, missing value analysis, and clustering/segmentation to cover all aspects of a data mining, predictive analytics and predictive modeling project. The tutorial will introduce you to SPM product functionality and show you how to benefit from SPM automation technology. This tutorial will show how SPM is used in solving real world data mining, predictive modeling and predictive analytics problems, discuss what is novel in the software, cover implementation, and cover best practices. Prerequisites: This course is open to anyone with an interest in data mining and predictive analytics. Whether you are beginner or an advanced modeler, we believe you will find this course useful.

2011 JSM Online Program Home

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