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Getting Started with SAS
®
Enterprise Miner
™
13.1
SAS
®
Documentation
The correct bibliographic citation for this manual is as follows: SAS Institute Inc 2013. Getting Started with SAS
®
Enterprise Miner
™
13.1. Cary,
NC: SAS Institute Inc.
Getting Started with SAS
®
Enterprise Miner
™
13.1
Copyright © 2013, SAS Institute Inc., Cary, NC, USA
ISBN 978-1-61290-552-5
All rights reserved. Produced in the United States of America.
For a hardcopy book: No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means,
electronic, mechanical, photocopying, or otherwise, without the prior written permission of the publisher, SAS Institute Inc.
For a Web download or e-book:Your use of this publication shall be governed by the terms established by the vendor at the time you acquire this
publication.
U.S. Government License Rights; Restricted Rights: Use, duplication, or disclosure of this software and related documentation by the U.S.
government is subject to the Agreement with SAS Institute and the restrictions set forth in FAR 52.227–19 Commercial Computer Software-
Restricted Rights (June 1987).
SAS Institute Inc., SAS Campus Drive, Cary, North Carolina 27513.
Electronic book 1, December 2013
SAS
®
Publishing provides a complete selection of books and electronic products to help customers use SAS software to its fullest potential. For
more information about our e-books, e-learning products, CDs, and hard-copy books, visit the SAS Publishing Web site at support.sas.com/
publishing or call 1-800-727-3228.
SAS
®
and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other
countries. ® indicates USA registration.
Other brand and product names are registered trademarks or trademarks of their respective companies.
Contents
About This Book . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vii
Recommended Reading . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Chapter 1 • Introduction to SAS Enterprise Miner 13.1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
What Is SAS Enterprise Miner? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
How Does SAS Enterprise Miner Work? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2
Benefits of Using SAS Enterprise Miner . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
Accessibility Features of SAS Enterprise Miner 13.1 . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
Getting to Know the Graphical User Interface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
Chapter 2 • Learning by Example: Building and Running a Process Flow . . . . . . . . . . . . . . . . . 7
About the Scenario in This Book . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
Prerequisites for This Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
Chapter 3 • Set Up the Project . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
About the Tasks That You Will Perform . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
Create a New Project . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
Create a Library . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12
Create a Data Source . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
Create a Diagram and Add the Input Data Node . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15
Chapter 4 • Explore the Data and Replace Input Values . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
About the Tasks That You Will Perform . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Generate Descriptive Statistics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Partition the Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20
Replace Missing Values . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21
Chapter 5 • Build Decision Trees . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
About the Tasks That You Will Perform . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
Automatically Train and Prune a Decision Tree . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
Interactively Train a Decision Tree . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26
Create a Gradient Boosting Model of the Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29
Chapter 6 • Impute and Transform, Build Neural Networks, and Build a Regression Model . 31
About the Tasks That You Will Perform . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31
Impute Missing Values . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31
Transform Variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33
Analyze with a Logistic Regression Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35
Analyze with a Neural Network Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38
Chapter 7 • Compare Models and Score New Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43
About the Tasks That You Will Perform . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43
Compare Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43
Score New Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45
Create a Sorted List of Potential Donors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46
Appendix 1 • SAS Enterprise Miner Node Reference . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49
About Nodes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49
Usage Rules for Nodes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56
剩余79页未读,继续阅读
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