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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

Chapter 8. Looking for Relationships Between Fields

The previous chapters have focused on data preparation. You learned how to select and sort cases, how to identify and remove duplicate cases, how to reclassify and filter fields, how to combine different types of data files, and how to derive additional fields. Now that the dataset has been prepared, in this chapter you will learn how to assess the following:

Relationships between categorical variables
Relationships between categorical and continuous variables
Relationships between continuous variables

One major aspect of a data mining project is the development of a model; however, investigating simple relationships among variables can be extremely important in answering questions about what motivated a project. You may find, for example, that certain customer behaviors are associated with weather events, or purchasing specific products is associated with certain demographic characteristics. Although these patterns are not substitutes for...

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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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