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IBM SPSS Modeler Essentials

You're reading from IBM SPSS Modeler Essentials

Product type Book

Published in Dec 2017

Publisher Packt

ISBN-13 9781788291118

Pages 238 pages

Edition 1st Edition

Languages

Concepts

Predictive Analytics

Authors (2):

Jesus Salcedo

Keith McCormick

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

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

Introducing the Modeler graphic user interface

IBM SPSS Modeler can be thought of as a data mining workbench that combines multiple tools and technologies to support the data mining process. Modeler allows users to mine data visually on the stream canvas.

The following figure shows the different areas of the Modeler interface:

As you can see, the Modeler interface is comprised of several components, and these are described in the next few pages.

Stream canvas

The stream canvas is the main work area in Modeler. It is located in the center of the Modeler user interface. The stream canvas can be thought of as a surface on which to place icons or nodes. These nodes represent operations to be carried out on the data. Once nodes have been placed on the stream canvas, they can be linked together to form a stream.

Palettes

Nodes (operations on the data) are contained in palettes. The palettes are located at the bottom of the Modeler user interface. Each palette contains a group of related nodes that are...

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Authors (2)

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

Keith McCormick

Keith McCormick is a career long practitioner of predictive analytics and data science. He has engaged in statistical modeling, data mining, and mentoring others in the area for more than 20 years. He has a particular expertise in helping organizations perform their first predictive analytics project or build their first predictive analytics practice, and has done so in a variety of industries including healthcare, banking, telecommunications, non-profit, direct mail, pharmaceuticals, and retail. Keith is also an established author and speaker with four books in print, or under contract. Although his consulting work is not restricted to any one tool, his writing and speaking has made him particularly well known in the IBM SPSS Statistics and IBM SPSS Modeler communities.

See other products by Keith McCormick

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