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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 4. Data Quality and Exploration

The previous chapter introduced the general data structure that is used in Modeler. You learned how to read and display data, and you were introduced to the concepts of the measurement level and the field roles. Now that you know how to bring data into Modeler, the next step is to assess the quality of the data. In this chapter you will:

Get an overview of the Data Audit node options
Go over the results of the Data Audit node
Be introduced to missing data
Discuss ways to address missing data

Once your data is in Modeler, you are ready to start exploring and become familiar with the characteristics of the data. You should review the distribution of each field so that you can become familiar with a dataset, but also so that you can identify potential problems that may arise. For continuous fields, you will want to inspect the range of values. For categorical fields, you will want to take a look at the number of distinct values. You will also have to consider...

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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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