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IBM SPSS Modeler Cookbook

You're reading from   IBM SPSS Modeler Cookbook If you've already had some experience with IBM SPSS Modeler this cookbook will help you delve deeper and exploit the incredible potential of this data mining workbench. The recipes come from some of the best brains in the business.

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Product type Paperback
Published in Oct 2013
Publisher Packt
ISBN-13 9781849685467
Length 382 pages
Edition 1st Edition
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Toc

Table of Contents (11) Chapters Close

Preface 1. Data Understanding FREE CHAPTER 2. Data Preparation – Select 3. Data Preparation – Clean 4. Data Preparation – Construct 5. Data Preparation – Integrate and Format 6. Selecting and Building a Model 7. Modeling – Assessment, Evaluation, Deployment, and Monitoring 8. CLEM Scripting A. Business Understanding Index

Define business objectives by Tom Khabaza

Business objectives are the origin of every data mining solution. This may seem obvious for how can there be a solution without an objective? Yet this statement defines the field of data mining; everything we do in data mining is informed by, and oriented towards, an objective in the business or domain in which we are operating. For this reason, defining the business objectives for a data mining project is the first key step from which everything else follows.

The importance of business objectives in data mining

It is possible to describe data mining or other analytical activities without reference to business context but to do so is to omit a crucial component. It's because business knowledge is central to every step of the data mining process. There are two reasons for this:

  • Data necessarily provides a narrow or limited view of the world—the real world is always much richer than the data we collect about it—business knowledge is...
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