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Introducing CART

This guide provides a brief introduction to CART.

Title: Introducing CART

Short Description: This guide describes the CART product and illustrates some practical examples of its basic usage and approach.

Long Description: Welcome to CART, a robust decision-tree tool for data mining, predictive modeling,and data preprocessing. CART (Classification and Regresion Trees) automatically searches for important patterns and relationships, uncovering hidden structure even in highly complex data. CART trees can be used to generate accurate and reliable predictive models for a broad range of applications from bioinformatics to risk management and new applications are being reported daily.

Salford Systems' CART is the only decision-tree system based on the original CART code developed by world-renowned Stanford University and University of California at Berkeley statisticians Breiman, Friedman, Olshen and Stone.

Key Words: CART, Classification, and Regression Trees, decision trees, predictive models, data mining

Introduction

Welcome to CART, a robust decision-tree tool for data mining, predictive modeling, and data preprocessing. CART automatically searches for important patterns and relationships, uncovering hidden structure even in highly complex data. CART trees can be used to generate accurate and reliable predictive models for a broad range of applications from bioinformatics to risk management and new applications are being reported daily. The most common applications include churn prediction, credit scoring, drug discovery, fraud detection, manufacturing quality control, and wildlife research. Several hundred detailed applications studies are available from our website at http://www.salford-systems.com.

CART uses an intuitive, Windows-based interface, making it accessible to both technical and nontechnical users. Underlying the "easy" interface, however, is a mature theoretical foundation that distinguishes CART from other methodologies and other decision trees. Salford Systems' CART is the only decision-tree system based on the original CART code developed by world-renowned Stanford University and University of California at Berkeley statisticians Breiman, Friedman, Olshen and Stone. The core CART code has always remained proprietary and less than 20% of its functionality was described in the original CART monograph. Only Salford Systems has access to this code, which now includes enhancements co-developed by Salford Systems and CART's originators.

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Tags: Decision Trees, CART, Data Mining, Predictive Modeling, Classification and Regression Trees

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9685 Via Excelencia, Suite 208, San Diego, CA 92126
Ph: 619-543-8880
Fax: 619-543-8888
info (at) salford-systems (dot) com