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IBM SPSS Modeler Essentials

You're reading from IBM SPSS Modeler Essentials Effective techniques for building powerful data mining and predictive analytics solutions

Product type Paperback

Published in Dec 2017

Publisher Packt

ISBN-13 9781788291118

Length 238 pages

Edition 1st Edition

Tools

IBM SPSS

Concepts

Data Mining

Authors (2):

Keith McCormick

Jesus Salcedo

View More author details

Table of Contents (19) Chapters

Title Page

Credits

About the Authors

About the Reviewer

www.PacktPub.com

Customer Feedback

Dedication

Preface

1. Introduction to Data Mining and Predictive Analytics FREE CHAPTER

2. The Basics of Using IBM SPSS Modeler

3. Importing Data into Modeler

4. Data Quality and Exploration

5. Cleaning and Selecting Data

6. Combining Data Files

7. Deriving New Fields

8. Looking for Relationships Between Fields

9. Introduction to Modeling Options in IBM SPSS Modeler

10. Decision Tree Models

11. Model Assessment and Scoring

Data structure

Modeler can read data from a variety of different file formats. If you take a look at the Sources palette, you will see that Modeler can read data from any one of the data import nodes: text files, databases, IBM SPSS Statistics or Cognos, SAS, or Excel, in addition to many others. In fact, unlike programs such as Microsoft Excel or IBM SPSS Statistics, where you can manually enter data into the program, in Modeler you must read data into the software from an external file. In this chapter, the focus will be on reading data files from free-field text files, which is a common file type. We will also briefly show you the options for reading in data from two other commonly used sources, Microsoft Excel and ODBC databases.

The following figure depicts the typical data structure used in Modeler. In general, Modeler uses a data structure in which the rows of a table represent cases and the columns of a table represent variables. In this figure, we can see that each row represents...

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Authors (2)

Keith McCormick

Keith McCormick

Keith McCormick is an independent data miner, trainer, conference speaker, and author. He has been using statistics software tools since the early 90s, and has been conducting training since 1997. He has been data mining and using IBM SPSS Modeler since its arrival in North America in the late 90s. He is also an expert in other packages, IBM's SPSS software suite, including IBM SPSS Statistics, AMOS, and Text Mining. He blogs and reviews related books as well.

See other products by Keith McCormick

Jesus Salcedo

Jesus Salcedo

Jesus Salcedo has a PhD in psychometrics from Fordham University. He is an independent statistical consultant and has been using SPSS products for over 20 years. He is a former SPSS Curriculum Team Lead and Senior Education Specialist who has written numerous SPSS training courses and trained thousands of users.

See other products by Jesus Salcedo

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