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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
Languages
Concepts
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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

Introduction

This chapter focuses on just the first task, Select, of the data preparation phase:

Decide on the data to be used for analysis. Criteria include relevance to the data mining goals, quality, and technical constraints such as limits on data volume or data types. Note that data selection covers selection of attributes (columns) as well as selection of records (rows) in a table.

Ideally, data mining empowers business people to discover valuable patterns in large quantities of data, to develop useful models and integrate them into the business quickly and easily. The name data mining suggests that large quantities of data will be involved, that the object is to extract rare and elusive bits of the data, and that data mining calls for working with data in bulk—no sampling.

New data miners are often struck by how much selection and sampling is actually done. For some, the stereotypical data miner dives in and looks at everything. It is unclear how such an unfocused search would...

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