IBM SPSS Modeler Cookbook

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 ...