Salford Systems' flagship data mining software, CARTŪ, is a robust, easy-to-use decision tree that automatically sifts large, complex databases, searching for and isolating significant patterns and relationships. This discovered knowledge is then used to generate reliable, easy-to-grasp predictive models for applications such as finding best prospects and customers, targeted marketing, detecting credit card fraud, and managing credit risk.
Designed for both non-technical and technical business users, CART can quickly reveal important data relationships that could remain hidden using other analytical tools. The most recent 2008 release, CART 6.0, includes modeling automation technology that dramatically accelerates the process of generating accurate and robust models for deployment in core business functions. CART was the primary tool used to win the KDDCup 2000 web-mining competition and is currently in use in major web applications.
Technically, Classification And Regression Trees (CART) is based on landmark mathematical theory introduced in 1984 by four world-renowned statisticians at Stanford University and the University of California at Berkeley. Salford Systems’ implementation of CART is the only decision tree software embodying the proprietary code written by CART co-author Professor Jerome H. Friedman.
The CART creators continue to collaborate with Salford Systems to enhance CART with proprietary advances. With CART 6.0 Pro EX, Salford has introduced patented extensions to CART specifically designed to enhance results for market research and web analytics. CART supports high-speed deployment, allowing Salford models to predict and score in real time on a massive scale.