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IBM SPSS Modeler Cookbook by Scott Mutchler, Tom Khabaza, Meta S. Brown, Dean Abbott, Keith McCormick

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Chapter 4. Data Preparation – Construct

In this chapter, we will cover:

  • Building transformations with multiple Derive nodes
  • Calculating and comparing conversion rates
  • Grouping categorical values
  • Transforming high skew or kurtosis variables using a multiple Derive mode
  • Creating flag variables for aggregation
  • Using Association Rules for interaction detection/feature creation
  • Creating time-aligned cohorts

Introduction

This chapter will focus on the Construct subtask of CRISP-DM's data preparation phase. The CRISP-DM document describes it as follows:

This task includes constructive data preparation operations such as the production of derived attributes, entire new records, or transformed values for existing attributes.

Of all the subtasks in CRISP-DM, the Construct ...

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