Affordable, proven technology reveals hidden relationships; automatically generates accurate predictive models
Salford Systems, a new-generation data-mining software developer and consultant, today introduces CART®, user-friendly classification-and-regression-tree software. CART produces the most reliable classification and prediction models for applications such as profiling "best" customers, targeting direct mailings, detecting telecommunications and credit-card fraud, and managing credit risk.
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Salford Systems today introduces MARS®, a high-speed flexible regression tool for data mining and predictive modeling. A natural alternative to Neural Networks and more conventional regression models, MARS was designed to solve problems such as how to predict credit card holder balances, insurance claim losses, and cell phone usage with superior forecasting accuracy. MARS builds its models automatically, self-tests to ensure validity, and graphically displays the effect of each important variable on the outcome.
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Leo Breiman, one of the four creators of CART®, was elected to the National Academy of Sciences on May 1, 2001 for his seminal work in data mining, decision trees, and pattern recognition. Election to the Academy is considered one of the highest honors that can be accorded to a scientist or engineer. Leo joins CART co-author Charles J. Stone, who was elected earlier.
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Salford Systems was the winner of the Teradata Center for CRM at Duke University 2003 predictive modeling and data mining tournament.
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