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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

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781788291118
Length 238 pages
Edition 1st Edition
Concepts
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Authors (2):
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Keith McCormick Keith McCormick
Author Profile Icon Keith McCormick
Keith McCormick
Jesus Salcedo Jesus Salcedo
Author Profile Icon Jesus Salcedo
Jesus Salcedo
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Chapter 1. Introduction to Data Mining and Predictive Analytics

IBM SPSS Modeler is an interactive data mining workbench composed of multiple tools and technologies to support the entire data mining process. In this first chapter, readers will be introduced to the concepts of data mining, CRISP-DM, which is a recipe for doing data mining the right way, and a case study outlining the data mining process. The chapter topics are as follows:

  • Introduction to data mining
  • CRISP-DM overview
  • The data mining process (as a case study)
You have been reading a chapter from
IBM SPSS Modeler Essentials
Published in: Dec 2017
Publisher: Packt
ISBN-13: 9781788291118
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