December 2017
Beginner to intermediate
238 pages
5h 35m
English
Content preview from IBM SPSS Modeler Essentials
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Deriving New Fields
We have now spent several chapters on the data preparation phase of data mining. We have learned how to select and sort cases, how to identify and remove duplicate cases, how to reclassify and filter fields, and how to combine different types of data files. In this chapter you will learn how to create additional fields by:
- Deriving fields as formulas
- Deriving fields as flags
- Deriving fields as nominals
- Deriving fields as conditionals
A very important aspect of every data mining project is to extract as much information as possible. Every project will begin with some data, but it is the responsibility of the data miner to gather additional information from what is already known. In our experience, this can be the most ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.