(2)
Overview: This paper published by SAS institute demonstrates that if the goal of modeling is prediction, with a large number of covariates and little theoretical guidance for choosing among them, the approach based on the combination of stepwise logistic regression, information criteria, and best subset selection will result in fully automated procedure. The technique proposed in this paper can be used for predictive purposes with SAS PROC LOGISTIC or within Enterprise Miner in solving such problems as drug discovery, database marketing, credit risk evaluation, fraud detection, and other predictive modeling applications in banking, financial services, insurance, telecommunication industry, etc.
Enterprise Packages: Where Are They Headed?
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Impact Business Performance with BPM
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