9/18/2011

Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Applications Review

Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Applications
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(More customer reviews)
Excellent book with detailed illustration of steps using Eminer. Great for users of Eminer with understanding of data mining methods.

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Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Applications demonstrates how to make the fullest use of SAS Enterprise Miner software. Kattamuri Sarma provides an in-depth explanation of the methodology and the theory behind each tool that he covers, and then shows you how the software performs the tasks. Step by step, you'll be able to compare manual calculations with the calculations that are performed by SAS Enterprise Miner. Examples from the insurance and banking industries are based on simulated, but realistic, data. The approaches discussed in this book are relevant to any industry.
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.

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