Predictive modeling with SAS Enterprise Miner
Subtitle: practical solutions for business applications
By: Kattamuri S. Sarma
Contributors: SAS Institute
Edition: 2nd ed.
Publisher: SAS Institute
Published: 2013
Place of publication: Cary, NC
Language: eng
Number of pages: 500
ISBN-13: 9781607648185; 9781607647676
Subjects: Business; Data processing; Data mining; Regression analysis; Computer programs; Statistics; Enterprise miner; SAS (Computer file)
Notes: Previous ed.: 2007.

Includes bibliographical references and index.
Table of contents: title: Research strategy; title: Getting started with predictive modeling; title: Variable selection and transformation of variables; title: Building decision tree models to predict response and risk; title: Neural network models to predict response and risk; title: Regression models; title: Comparison and combination of different models; title: Customer profitability; title: Introduction to predictive modeling with textual data.