Chapter 9: Predictive Analysis Using SAS Enterprise Miner

Introduction

Select

Initiate the Project

Select the Data

Explore

StatExplore

MultiPlot

Modify

Replace Missing Values via Imputation

Partition Data into Subsamples

Manage Outliers

Transform the Variables

Model

Decision Tree

Neural Network

Regression

Assess

Notes from the Field

Introduction

In Chapters 5 through 8, you learned to view and analyze the DMR Publishing data in an effort to understand past and current customer characteristics and behavior. In this chapter, you will learn how to discover and measure patterns from past behavior and characteristics to predict future behavior using predictive modeling. This is one of most widely used techniques used in business today.

As detailed ...

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