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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 9. Introduction to Modeling Options in IBM SPSS Modeler

The previous chapter focused on exploring simple relationships between an outcome variable and a predictor variable. You learned how to use several statistical and graphing nodes to determine which fields are related to each other, and as mentioned previously, this can answer very important questions. However, ultimately you will want to build a model. In this chapter, you will be introduced to the different types of models available in Modeler and will then be provided with an overview of the predictive models. Specifically, in this chapter we will:

Provide an overview of the kinds of models that Modeler can create and how these are organized
List and discuss the various algorithms that Modeler organizes under classification
Discuss the Auto nodes
Discuss how to choose a model

This chapter will not be a theoretical grounding of all possible modeling techniques found in statistics and machine learning. There is no shortage of books...

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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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