Data Quality for Analytics Using SAS

Appendix C: Using SAS Enterprise Miner for Simulation Studies

C.1 Introduction

C.2 Preparation of SAS Enterprise Miner for SEED=0 Random Numbers

General

Changing the settings

C.3 Simulation Environment

General

Features

Deriving the parameter setting from the node name

Programming details

C.4 Discussion of the Suitability of SAS Enterprise Miner for a Simulation Environment

General

Advantages

C.5 Selected Macros and Macro Variables Available in a SAS Enterprise Miner Code Node

C.1 Introduction

The simulations that have been performed for predictive modeling in part III of this book are technically based on SAS Enterprise Miner. Against the background of the simulation of the consequences of poor data quality in predictive modeling as shown in ...