We introduce a support vector decision tree method for customer targeting in the framework of large databases (database marketing). The goal is to provide a tool to identify the best customers based on historical data. Then this tool is used to forecast the best potential customers among a pool of prospects. We begin by recursively constructing a decision… (More)
Over the past decades, statisticians and machine-learning researchers have developed literally thousands of new tools for the reduction of high-dimensional data in order to identify the variables most responsible for a particular trait. These tools have applications in a plethora of settings, including data analysis in the fields of business, education,… (More)
The GSForward node is an implementation of the methods described in Foster and Stine (2004), who present a novel approach in variable selection with a large number of variables.