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IBM SPSS Modeler Essentials
IBM SPSS Modeler Essentials

IBM SPSS Modeler Essentials: Effective techniques for building powerful data mining and predictive analytics solutions

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Profile Icon Keith McCormick Profile Icon Jesus Salcedo
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€18.99 per month
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1 Ratings)
Paperback Dec 2017 238 pages 1st Edition
eBook
€20.99 €23.99
Paperback
€29.99
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Free Trial
Renews at €18.99p/m
Arrow left icon
Profile Icon Keith McCormick Profile Icon Jesus Salcedo
Arrow right icon
€18.99 per month
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1 Ratings)
Paperback Dec 2017 238 pages 1st Edition
eBook
€20.99 €23.99
Paperback
€29.99
Subscription
Free Trial
Renews at €18.99p/m
eBook
€20.99 €23.99
Paperback
€29.99
Subscription
Free Trial
Renews at €18.99p/m

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IBM SPSS Modeler Essentials

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Key benefits

  • Get up–and-running with IBM SPSS Modeler without going into too much depth.
  • Identify interesting relationships within your data and build effective data mining and predictive analytics solutions
  • A quick, easy–to-follow guide to give you a fundamental understanding of SPSS Modeler, written by the best in the business

Description

IBM SPSS Modeler allows users to quickly and efficiently use predictive analytics and gain insights from your data. With almost 25 years of history, Modeler is the most established and comprehensive Data Mining workbench available. Since it is popular in corporate settings, widely available in university settings, and highly compatible with all the latest technologies, it is the perfect way to start your Data Science and Machine Learning journey. This book takes a detailed, step-by-step approach to introducing data mining using the de facto standard process, CRISP-DM, and Modeler’s easy to learn “visual programming” style. You will learn how to read data into Modeler, assess data quality, prepare your data for modeling, find interesting patterns and relationships within your data, and export your predictions. Using a single case study throughout, this intentionally short and focused book sticks to the essentials. The authors have drawn upon their decades of teaching thousands of new users, to choose those aspects of Modeler that you should learn first, so that you get off to a good start using proven best practices. This book provides an overview of various popular data modeling techniques and presents a detailed case study of how to use CHAID, a decision tree model. Assessing a model’s performance is as important as building it; this book will also show you how to do that. Finally, you will see how you can score new data and export your predictions. By the end of this book, you will have a firm understanding of the basics of data mining and how to effectively use Modeler to build predictive models.

Who is this book for?

This book is ideal for those who are new to SPSS Modeler and want to start using it as quickly as possible, without going into too much detail. An understanding of basic data mining concepts will be helpful, to get the best out of the book.

What you will learn

  • • Understand the basics of data mining and familiarize yourself with Modeler's visual programming interface
  • • Import data into Modeler and learn how to properly declare metadata
  • • Obtain summary statistics and audit the quality of your data
  • • Prepare data for modeling by selecting and sorting cases, identifying and removing duplicates, combining data files, and modifying and creating fields
  • • Assess simple relationships using various statistical and graphing techniques
  • • Get an overview of the different types of models available in Modeler
  • • Build a decision tree model and assess its results
  • • Score new data and export predictions

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Dec 26, 2017
Length: 238 pages
Edition : 1st
Language : English
ISBN-13 : 9781788291118
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Product Details

Publication date : Dec 26, 2017
Length: 238 pages
Edition : 1st
Language : English
ISBN-13 : 9781788291118
Category :
Concepts :
Tools :

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Frequently bought together


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Table of Contents

11 Chapters
Introduction to Data Mining and Predictive Analytics Chevron down icon Chevron up icon
The Basics of Using IBM SPSS Modeler Chevron down icon Chevron up icon
Importing Data into Modeler Chevron down icon Chevron up icon
Data Quality and Exploration Chevron down icon Chevron up icon
Cleaning and Selecting Data Chevron down icon Chevron up icon
Combining Data Files Chevron down icon Chevron up icon
Deriving New Fields Chevron down icon Chevron up icon
Looking for Relationships Between Fields Chevron down icon Chevron up icon
Introduction to Modeling Options in IBM SPSS Modeler Chevron down icon Chevron up icon
Decision Tree Models Chevron down icon Chevron up icon
Model Assessment and Scoring Chevron down icon Chevron up icon

Customer reviews

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Em Mar 28, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Great introduction to learning IBM SPSS Modeler and data mining.
Amazon Verified review Amazon
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