Predictive Modeling With SAS Enterprise Miner: Practical Solutions for Business Applications

Here are a few of the topics discussed in detail:

• data collection and data cleaning
• data exploration
• decision trees and regression trees
• logistic regression models
• neural networks
• variable selection and variable transformation

You need this book if you are a graduate student interested in predictive modeling, an expert in data mining who is not familiar with SAS Enterprise Miner, or a business analyst who needs an introduction to predictive modeling using SAS Enterprise Miner. To get the most from this book, you should be familiar with elements of statistical inference and probability, simple algebra, ordinary least squares, logistic regression, and Base SAS software.