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A Genetic Jackknife Method: 3-in-1 Tool for
 Variable Selection, Data Mining
 and Model Building
Bruce Ratner, Ph.D.

The trinity of traditional analytical techniques - variable selection, data mining, and model building - is presented in detail along with their strengths and weaknesses. Then, I introduce a new “jackknife” method that is a 3-in-1 tool for automatically and simultaneously performing the trinity of techniques: selecting important original variables, finding patterns within the data by constructing new important variables from the original variables, and formulating a mathematical equation based on the best set of original and constructed variables. The jackknife method is based on the assumption-free, nonparametric genetic paradigm inspired by Darwin’s Principle of Survival of the Fittest and the biological operations of reproduction, sexual recombination and mutation. The genetic jackknife method offers a clear advantage over current statistical methods, whose performance is dependent upon theoretical assumptions, predefined model formulations, and data-type restrictions. A case study is presented to illustrate the potential of the new method for building database marketing and CRM models with the GenIQ software implementation of the new method.

For more information about this article, call Bruce Ratner at 516.791.3544 or 1 800 DM STAT-1; or e-mail at