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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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Toc

Summary


This chapter introduced the data preparation phase of data mining. The specific focus of this chapter was on fixing some of the problems that were previously identified in the data during the data understanding phase. You learned how to ensure that you are selecting the appropriate cases for analysis, and you were also exposed to the idea of sorting cases to get a better feel for the data. In addition, you learned how to identify and remove duplicate cases. Finally, you were introduced to the topic of reclassifying categorical values to address various types of issues.

In the next chapter we will expand our data preparation skills so that we can combine various data files. Specifically we will learn to combine data files using both the Merge and Append nodes.

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